메뉴 건너뛰기




Volumn 1159, Issue , 2014, Pages 227-251

Role of text mining in early identification of potential drug safety issues

(3)  Liu, Mei a   Hu, Yong a   Tang, Buzhou a  

a NONE

Author keywords

Adverse drug reaction; Biomedical literature mining; Data mining; Drug safety surveillance; Drug drug interactions; Natural language processing; Pharmacovigilance; Text mining

Indexed keywords

ARTICLE; AUTOMATION; CLASSIFIER; DATA ANALYSIS; DATA EXTRACTION; DATA MINING; DRUG NOMENCLATURE; DRUG SAFETY; DRUG SURVEILLANCE PROGRAM; ELECTRONIC MEDICAL RECORD; HUMAN; INFORMATION PROCESSING; MACHINE LEARNING; MEDICAL LITERATURE; NATURAL LANGUAGE PROCESSING; PRIORITY JOURNAL; SIGNAL DETECTION; SOCIAL MEDIA; ANIMAL; BIBLIOGRAPHIC DATABASE; CLINICAL TRIAL (TOPIC); PROCEDURES;

EID: 84927559916     PISSN: 10643745     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-1-4939-0709-0_13     Document Type: Article
Times cited : (16)

References (129)
  • 1
    • 0003607431 scopus 로고
    • International drug monitoring: The role of the hospital
    • World Health Organization (1966) International drug monitoring: the role of the hospital. In: Technical report series no. 425. World Health Organization, Geneva
    • (1966) Technical Report Series No. 425. World Health Organization
  • 3
    • 0035990383 scopus 로고    scopus 로고
    • Drug-related visits to the emergency department: How big is the problem?
    • Patel P, Zed PJ (2002) Drug-related visits to the emergency department: how big is the problem? Pharmacotherapy 22:915-923
    • (2002) Pharmacotherapy , vol.22 , pp. 915-923
    • Patel, P.1    Zed, P.J.2
  • 4
    • 0036033644 scopus 로고    scopus 로고
    • Drug-related deaths in a university central hospital
    • Juntti-Patinen L, Neuvonen PJ (2002) Drug-related deaths in a university central hospital. Eur J Clin Pharmacol 58:479-482
    • (2002) Eur J Clin Pharmacol , vol.58 , pp. 479-482
    • Juntti-Patinen, L.1    Neuvonen, P.J.2
  • 5
    • 34548602369 scopus 로고    scopus 로고
    • Serious adverse drug events reported to the Food and Drug Administration, 1998-2005
    • Moore TJ, Cohen MR, Furberg CD (2007) Serious adverse drug events reported to the Food and Drug Administration, 1998-2005. Arch Intern Med 167:1752-1759
    • (2007) Arch Intern Med , vol.167 , pp. 1752-1759
    • Moore, T.J.1    Cohen, M.R.2    Furberg, C.D.3
  • 6
    • 0032522873 scopus 로고    scopus 로고
    • Incidence of adverse drug reactions in hospitalized patients: A meta-analysis of prospective studies
    • Lazarou J, Pomeranz BH, Corey PN (1998) Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies. JAMA 279:1200-1205
    • (1998) JAMA , vol.279 , pp. 1200-1205
    • Lazarou, J.1    Pomeranz, B.H.2    Corey, P.N.3
  • 7
    • 0034949062 scopus 로고    scopus 로고
    • Identifying hospital admissions due to adverse drug events using a computer-based monitor
    • Jha AK, Kuperman GJ, Rittenberg E et al (2001) Identifying hospital admissions due to adverse drug events using a computer-based monitor. Pharmacoepidemiol Drug Saf 10: 113-119
    • (2001) Pharmacoepidemiol Drug Saf , vol.10 , pp. 113-119
    • Jha, A.K.1    Kuperman, G.J.2    Rittenberg, E.3
  • 8
    • 2942565990 scopus 로고    scopus 로고
    • Postmarketing surveillance for drug safety: Surely we can do better
    • Griffin MR, Stein CM, Ray WA (2004) Postmarketing surveillance for drug safety: surely we can do better. Clin Pharmacol Ther 75:491-494
    • (2004) Clin Pharmacol Ther , vol.75 , pp. 491-494
    • Griffin, M.R.1    Stein, C.M.2    Ray, W.A.3
  • 9
    • 0034619028 scopus 로고    scopus 로고
    • Adverse drug reactions: Definitions, diagnosis, and management
    • Edwards IR, Aronson JK (2000) Adverse drug reactions: definitions, diagnosis, and management. Lancet 356:1255-1259
    • (2000) Lancet , vol.356 , pp. 1255-1259
    • Edwards, I.R.1    Aronson, J.K.2
  • 10
    • 32344440237 scopus 로고    scopus 로고
    • Analysis of drug-induced effect patterns to link structure and side effects of medicines
    • Fliri AF, Loging WT, Thadeio PF et al (2005) Analysis of drug-induced effect patterns to link structure and side effects of medicines. Nat Chem Biol 1:389-397
    • (2005) Nat Chem Biol , vol.1 , pp. 389-397
    • Fliri, A.F.1    Loging, W.T.2    Thadeio, P.F.3
  • 11
    • 40049100210 scopus 로고    scopus 로고
    • Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure
    • Bender A, Scheiber J, Glick M et al (2007) Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure. ChemMedChem 2:861-873
    • (2007) Chemmedchem , vol.2 , pp. 861-873
    • Bender, A.1    Scheiber, J.2    Glick, M.3
  • 12
    • 47249146126 scopus 로고    scopus 로고
    • Drug target identification using side-effect similarity
    • Campillos M, Kuhn M, Gavin AC et al (2008) Drug target identification using side-effect similarity. Science 321:263-266
    • (2008) Science , vol.321 , pp. 263-266
    • Campillos, M.1    Kuhn, M.2    Gavin, A.C.3
  • 14
    • 65249092595 scopus 로고    scopus 로고
    • Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis
    • Scheiber J, Chen B, Milik M et al (2009) Gaining insight into off-target mediated effects of drug candidates with a comprehensive systems chemical biology analysis. J Chem Inf Model 49:308-317
    • (2009) J Chem Inf Model , vol.49 , pp. 308-317
    • Scheiber, J.1    Chen, B.2    Milik, M.3
  • 15
    • 65649093070 scopus 로고    scopus 로고
    • Mapping adverse drug reactions in chemical space
    • Scheiber J, Jenkins JL, Sukuru SC et al (2009) Mapping adverse drug reactions in chemical space. J Med Chem 52:3103-3107
    • (2009) J Med Chem , vol.52 , pp. 3103-3107
    • Scheiber, J.1    Jenkins, J.L.2    Sukuru, S.C.3
  • 16
    • 67049100457 scopus 로고    scopus 로고
    • Drug discovery using chemical systems biology: Identification of the protein-ligand binding network to explain the side effects of CETP inhibitors
    • Xie L, Li J, Bourne PE (2009) Drug discovery using chemical systems biology: identification of the protein-ligand binding network to explain the side effects of CETP inhibitors. PLoS Comput Biol 5:e1000387
    • (2009) Plos Comput Biol , vol.5
    • Xie, L.1    Li, J.2    Bourne, P.E.3
  • 17
    • 77953811317 scopus 로고    scopus 로고
    • Prediction of adverse drug reactions using decision tree modeling
    • Hammann F, Gutmann H, Vogt N et al (2010) Prediction of adverse drug reactions using decision tree modeling. Clin Pharmacol Ther 88:52-59
    • (2010) Clin Pharmacol Ther , vol.88 , pp. 52-59
    • Hammann, F.1    Gutmann, H.2    Vogt, N.3
  • 18
    • 77954230951 scopus 로고    scopus 로고
    • Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework
    • Yamanishi Y, Kotera M, Kanehisa M et al (2010) Drug-target interaction prediction from chemical, genomic and pharmacological data in an integrated framework. Bioinformatics 26:i246-i254
    • (2010) Bioinformatics , vol.26 , pp. 246-254
    • Yamanishi, Y.1    Kotera, M.2    Kanehisa, M.3
  • 19
    • 79960238966 scopus 로고    scopus 로고
    • Network neighbors of drug targets contribute to drug side-effect similarity
    • Brouwers L, Iskar M, Zeller G et al (2011) Network neighbors of drug targets contribute to drug side-effect similarity. PLoS One 6:e22187
    • (2011) Plos One , vol.6
    • Brouwers, L.1    Iskar, M.2    Zeller, G.3
  • 20
    • 79955969387 scopus 로고    scopus 로고
    • Predicting drug side-effect profiles: A chemical fragment-based approach
    • Pauwels E, Stoven V, Yamanishi Y (2011) Predicting drug side-effect profiles: a chemical fragment-based approach. BMC Bioinformatics 12:169
    • (2011) BMC Bioinformatics , vol.12 , pp. 169
    • Pauwels, E.1    Stoven, V.2    Yamanishi, Y.3
  • 21
    • 79959380528 scopus 로고    scopus 로고
    • Predicting adverse drug reactions using publicly available PubChem BioAssay data
    • Pouliot Y, Chiang AP, Butte AJ (2011) Predicting adverse drug reactions using publicly available PubChem BioAssay data. Clin Pharmacol Ther 90:90-99
    • (2011) Clin Pharmacol Ther , vol.90 , pp. 90-99
    • Pouliot, Y.1    Chiang, A.P.2    Butte, A.J.3
  • 22
    • 84862510972 scopus 로고    scopus 로고
    • Large-scale prediction and testing of drug activity on side-effect targets
    • Lounkine E, Keiser MJ, Whitebread S et al (2012) Large-scale prediction and testing of drug activity on side-effect targets. Nature 486:361-367
    • (2012) Nature , vol.486 , pp. 361-367
    • Lounkine, E.1    Keiser, M.J.2    Whitebread, S.3
  • 23
    • 0035004266 scopus 로고    scopus 로고
    • The WHO Programme for International Drug Monitoring, its database, and the technical support of the Uppsala Monitoring Center
    • Lindquist M, Edwards IR (2001) The WHO Programme for International Drug Monitoring, its database, and the technical support of the Uppsala Monitoring Center. J Rheumatol 28:1180-1187
    • (2001) J Rheumatol , vol.28 , pp. 1180-1187
    • Lindquist, M.1    Edwards, I.R.2
  • 24
    • 0036300732 scopus 로고    scopus 로고
    • Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA’s spontaneous reports database
    • Szarfman A, Machado SG, O’Neill RT (2002) Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA’s spontaneous reports database. Drug Saf 25:381-392
    • (2002) Drug Saf , vol.25 , pp. 381-392
    • Szarfman, A.1    Machado, S.G.2    O’Neill, R.T.3
  • 25
    • 12444344855 scopus 로고    scopus 로고
    • Postmarketing surveillance of potentially fatal reactions to oncology drugs: Potential utility of two signal-detection algorithms
    • Hauben M, Reich L, Chung S (2004) Postmarketing surveillance of potentially fatal reactions to oncology drugs: potential utility of two signal-detection algorithms. Eur J Clin Pharmacol 60:747-750
    • (2004) Eur J Clin Pharmacol , vol.60 , pp. 747-750
    • Hauben, M.1    Reich, L.2    Chung, S.3
  • 26
    • 25444446347 scopus 로고    scopus 로고
    • Signal detection in pharmacovigilance: Empirical evaluation of data mining tools
    • Chan KA, Hauben M (2005) Signal detection in pharmacovigilance: empirical evaluation of data mining tools. Pharmacoepidemiol Drug Saf 14:597-599
    • (2005) Pharmacoepidemiol Drug Saf , vol.14 , pp. 597-599
    • Chan, K.A.1    Hauben, M.2
  • 27
    • 33751101323 scopus 로고    scopus 로고
    • Differential associations of beta-blockers with hemorrhagic events for chronic heart failure patients on warfarin
    • Berlowitz DR, Miller DR, Oliveria SA et al (2006) Differential associations of beta-blockers with hemorrhagic events for chronic heart failure patients on warfarin. Pharmacoepidemiol Drug Saf 15:799-807
    • (2006) Pharmacoepidemiol Drug Saf , vol.15 , pp. 799-807
    • Berlowitz, D.R.1    Miller, D.R.2    Oliveria, S.A.3
  • 28
    • 33645242067 scopus 로고    scopus 로고
    • Suspected drug-induced liver fatalities reported to the WHO database
    • Bjornsson E, Olsson R (2006) Suspected drug-induced liver fatalities reported to the WHO database. Dig Liver Dis 38:33-38
    • (2006) Dig Liver Dis , vol.38 , pp. 33-38
    • Bjornsson, E.1    Olsson, R.2
  • 29
    • 33751114892 scopus 로고    scopus 로고
    • Reports of hyperkalemia after publication of RALES: A pharmacovigilance study
    • Hauben M, Reich L, Gerrits CM (2006) Reports of hyperkalemia after publication of RALES: a pharmacovigilance study. Pharmacoepidemiol Drug Saf 15:775-783
    • (2006) Pharmacoepidemiol Drug Saf , vol.15 , pp. 775-783
    • Hauben, M.1    Reich, L.2    Gerrits, C.M.3
  • 30
    • 37349104178 scopus 로고    scopus 로고
    • Early detection of adverse drug events within population-based health networks: Application of sequential testing methods
    • Brown JS, Kulldorff M, Chan KA et al (2007) Early detection of adverse drug events within population-based health networks: application of sequential testing methods. Pharmacoepidemiol Drug Saf 16:1275-1284
    • (2007) Pharmacoepidemiol Drug Saf , vol.16 , pp. 1275-1284
    • Brown, J.S.1    Kulldorff, M.2    Chan, K.A.3
  • 31
    • 48449095979 scopus 로고    scopus 로고
    • Mining unexpected temporal associations: Applications in detecting adverse drug reactions
    • Jin HD, Chen J, He HX et al (2008) Mining unexpected temporal associations: applications in detecting adverse drug reactions. IEEE Trans Inf Technol Biomed 12:488-500
    • (2008) IEEE Trans Inf Technol Biomed , vol.12 , pp. 488-500
    • Jin, H.D.1    Chen, J.2    He, H.X.3
  • 32
    • 67349133655 scopus 로고    scopus 로고
    • Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part C: Use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities
    • Matthews EJ, Kruhlak NL, Benz RD et al (2009) Identification of structure-activity relationships for adverse effects of pharmaceuticals in humans: Part C: use of QSAR and an expert system for the estimation of the mechanism of action of drug-induced hepatobiliary and urinary tract toxicities. Regul Toxicol Pharmacol 54:43-65
    • (2009) Regul Toxicol Pharmacol , vol.54 , pp. 43-65
    • Matthews, E.J.1    Kruhlak, N.L.2    Benz, R.D.3
  • 33
    • 70349871732 scopus 로고    scopus 로고
    • Characterizing environmental and phenotypic associations using information theory and electronic health records
    • Wang X, Hripcsak G, Friedman C (2009) Characterizing environmental and phenotypic associations using information theory and electronic health records. BMC Bioinformatics 10(Suppl 9):S13
    • (2009) BMC Bioinformatics , vol.10 , pp. 13
    • Wang, X.1    Hripcsak, G.2    Friedman, C.3
  • 34
    • 65349157361 scopus 로고    scopus 로고
    • Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: A feasibility study
    • Wang X, Hripcsak G, Markatou M et al (2009) Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study. J Am Med Inform Assoc 16:328-337
    • (2009) J am Med Inform Assoc , vol.16 , pp. 328-337
    • Wang, X.1    Hripcsak, G.2    Markatou, M.3
  • 35
    • 78049477630 scopus 로고    scopus 로고
    • Mining multi-item drug adverse effect associations in spontaneous reporting systems
    • Harpaz R, Chase HS, Friedman C (2010) Mining multi-item drug adverse effect associations in spontaneous reporting systems. BMC Bioinformatics 11(Suppl 9):S7
    • (2010) BMC Bioinformatics , vol.11
    • Harpaz, R.1    Chase, H.S.2    Friedman, C.3
  • 37
    • 77954143269 scopus 로고    scopus 로고
    • Selecting information in electronic health records for knowledge acquisition
    • Wang X, Chase H, Markatou M et al (2010) Selecting information in electronic health records for knowledge acquisition. J Biomed Inform 43:595-601
    • (2010) J Biomed Inform , vol.43 , pp. 595-601
    • Wang, X.1    Chase, H.2    Markatou, M.3
  • 38
    • 84863556111 scopus 로고    scopus 로고
    • Predicting adverse drug events from personal health messages
    • Washington, DC
    • Chee BW, Berlin R, Schatz B (2011) Predicting adverse drug events from personal health messages. AMIA Annu Symp Proc 2011:217-226, Washington, DC
    • (2011) AMIA Annu Symp Proc , pp. 217-226
    • Chee, B.W.1    Berlin, R.2    Schatz, B.3
  • 39
    • 78951492723 scopus 로고    scopus 로고
    • Biclustering of adverse drug events in the FDA’s spontaneous reporting system
    • Harpaz R, Perez H, Chase HS et al (2011) Biclustering of adverse drug events in the FDA’s spontaneous reporting system. Clin Pharmacol Ther 89:243-250
    • (2011) Clin Pharmacol Ther , vol.89 , pp. 243-250
    • Harpaz, R.1    Perez, H.2    Chase, H.S.3
  • 40
    • 79955666806 scopus 로고    scopus 로고
    • A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance
    • Ji Y, Ying H, Dews P et al (2011) A potential causal association mining algorithm for screening adverse drug reactions in postmarketing surveillance. IEEE Trans Inf Technol Biomed 15:428-437
    • (2011) IEEE Trans Inf Technol Biomed , vol.15 , pp. 428-437
    • Ji, Y.1    Ying, H.2    Dews, P.3
  • 41
    • 80053254385 scopus 로고    scopus 로고
    • Using information mining of the medical literature to improve drug safety
    • Shetty KD, Dalal SR (2011) Using information mining of the medical literature to improve drug safety. J Am Med Inform Assoc 18:668-674
    • (2011) J am Med Inform Assoc , vol.18 , pp. 668-674
    • Shetty, K.D.1    Dalal, S.R.2
  • 42
    • 84863544591 scopus 로고    scopus 로고
    • Drug side effect extraction from clinical narratives of psychiatry and psychology patients
    • Sohn S, Kocher JP, Chute CG et al (2011) Drug side effect extraction from clinical narratives of psychiatry and psychology patients. J Am Med Inform Assoc 18(Suppl 1):i144-i149
    • (2011) J am Med Inform Assoc , vol.18 , pp. 144-149
    • Sohn, S.1    Kocher, J.P.2    Chute, C.G.3
  • 43
    • 84874500562 scopus 로고    scopus 로고
    • Disproportionality methods for pharmacovigilance in longitudinal observational databases
    • Zorych I, Madigan D, Ryan P et al (2011) Disproportionality methods for pharmacovigilance in longitudinal observational databases. Stat Methods Med Res 22:39-56
    • (2011) Stat Methods Med Res , vol.22 , pp. 39-56
    • Zorych, I.1    Madigan, D.2    Ryan, P.3
  • 44
    • 84876670577 scopus 로고    scopus 로고
    • Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions
    • Harpaz R, Vilar S, Dumouchel W et al (2012) Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions. J Am Med Inform Assoc 20:413-419
    • (2012) J am Med Inform Assoc , vol.20 , pp. 413-419
    • Harpaz, R.1    Vilar, S.2    Dumouchel, W.3
  • 45
    • 84876692093 scopus 로고    scopus 로고
    • Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
    • Liu M, McPeek Hinz ER, Matheny ME et al (2012) Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. J Am Med Inform Assoc 20:420-426
    • (2012) J am Med Inform Assoc , vol.20 , pp. 420-426
    • Liu, M.1    McPeek Hinz, E.R.2    Matheny, M.E.3
  • 46
    • 84863548955 scopus 로고    scopus 로고
    • Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs
    • Liu M, Wu Y, Chen Y et al (2012) Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs. J Am Med Inform Assoc 19:e28-e35
    • (2012) J am Med Inform Assoc , vol.19 , pp. 28-35
    • Liu, M.1    Wu, Y.2    Chen, Y.3
  • 47
    • 84859405925 scopus 로고    scopus 로고
    • Using text-mining techniques in electronic patient records to identify ADRs from medicine use
    • Warrer P, Hansen EH, Juhl-Jensen L et al (2012) Using text-mining techniques in electronic patient records to identify ADRs from medicine use. Br J Clin Pharmacol 73:674-684
    • (2012) Br J Clin Pharmacol , vol.73 , pp. 674-684
    • Warrer, P.1    Hansen, E.H.2    Juhl-Jensen, L.3
  • 48
    • 84862787399 scopus 로고    scopus 로고
    • Detection of adverse drug reaction signals using an electronic health records database: Comparison of the Laboratory Extreme Abnormality Ratio (CLEAR) algorithm
    • Yoon D, Park MY, Choi NK et al (2012) Detection of adverse drug reaction signals using an electronic health records database: comparison of the Laboratory Extreme Abnormality Ratio (CLEAR) algorithm. Clin Pharmacol Ther 91:467-474
    • (2012) Clin Pharmacol Ther , vol.91 , pp. 467-474
    • Yoon, D.1    Park, M.Y.2    Choi, N.K.3
  • 49
    • 33745574979 scopus 로고    scopus 로고
    • Drug interactions in cancer therapy
    • Scripture CD, Figg WD (2006) Drug interactions in cancer therapy. Nat Rev Cancer 6:546-558
    • (2006) Nat Rev Cancer , vol.6 , pp. 546-558
    • Scripture, C.D.1    Figg, W.D.2
  • 50
    • 16244398393 scopus 로고    scopus 로고
    • Text mining: Getting more value from literature resources
    • Hale R (2005) Text mining: getting more value from literature resources. Drug Discov Today 10:377-379
    • (2005) Drug Discov Today , vol.10 , pp. 377-379
    • Hale, R.1
  • 51
    • 17244380380 scopus 로고    scopus 로고
    • A survey of current work in biomedical text mining
    • Cohen AM, Hersh WR (2005) A survey of current work in biomedical text mining. Brief Bioinform 6:57-71
    • (2005) Brief Bioinform , vol.6 , pp. 57-71
    • Cohen, A.M.1    Hersh, W.R.2
  • 52
    • 77953834657 scopus 로고    scopus 로고
    • Definition of Health 2.0 and Medicine 2.0: A systematic review
    • Van De Belt TH, Engelen LJ, Berben SA et al (2010) Definition of Health 2.0 and Medicine 2.0: a systematic review. J Med Internet Res 12:e18
    • (2010) J Med Internet Res , vol.18 , pp. 12
    • Van De Belt, T.H.1    Engelen, L.J.2    Berben, S.A.3
  • 53
    • 38549151817 scopus 로고    scopus 로고
    • DrugBank: A knowledgebase for drugs, drug actions and drug targets
    • Wishart DS, Knox C, Guo AC et al (2008) DrugBank: a knowledgebase for drugs, drug actions and drug targets. Nucleic Acids Res 36:D901-D906
    • (2008) Nucleic Acids Res , vol.36 , pp. 901-906
    • Wishart, D.S.1    Knox, C.2    Guo, A.C.3
  • 54
    • 78651287426 scopus 로고    scopus 로고
    • DrugBank 3.0: A comprehensive resource for ‘omics’ research on drugs
    • Knox C, Law V, Jewison T et al (2010) DrugBank 3.0: a comprehensive resource for ‘omics’ research on drugs. Nucleic Acids Res 39:D1035-D1041
    • (2010) Nucleic Acids Res , vol.39 , pp. 1035-1041
    • Knox, C.1    Law, V.2    Jewison, T.3
  • 55
    • 77952922700 scopus 로고    scopus 로고
    • Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents
    • Segura-Bedmar I, Crespo M, de Pablo-Sanchez C et al (2010) Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents. BMC Bioinformatics 11(Suppl 2):S1
    • (2010) BMC Bioinformatics , vol.11 , pp. 1
    • Segura-Bedmar, I.1    Crespo, M.2    De Pablo-Sanchez, C.3
  • 56
    • 79953109654 scopus 로고    scopus 로고
    • A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents
    • Segura-Bedmar I, Martinez P, de Pablo-Sanchez C (2011) A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents. BMC Bioinformatics 12(Suppl 2):S1
    • (2011) BMC Bioinformatics , vol.12 , pp. 1
    • Segura-Bedmar, I.1    Martinez, P.2    De Pablo-Sanchez, C.3
  • 57
    • 34848845892 scopus 로고    scopus 로고
    • An empirical study of tokenization strategies for biomedical information retrieval
    • Jiang J, Zhai C (2007) An empirical study of tokenization strategies for biomedical information retrieval. Inf Retr 10:341-363
    • (2007) Inf Retr , vol.10 , pp. 341-363
    • Jiang, J.1    Zhai, C.2
  • 58
    • 0000582788 scopus 로고    scopus 로고
    • An algorithm for suffix stripping
    • In: Sparck Jones K, Willett P, Morgan Kaufmann Publishers Inc., San Francisco, CA
    • Porter M (1997) An algorithm for suffix stripping. In: Sparck Jones K, Willett P (eds) Readings in information retrieval. Morgan Kaufmann Publishers Inc., San Francisco, CA, pp 313-6
    • (1997) Readings in Information Retrieval , pp. 313-316
    • Porter, M.1
  • 62
    • 5044241106 scopus 로고    scopus 로고
    • MedPost: A part-of-speech tagger for bio-Medical text
    • Smith L, Rindflesch T, Wilbur WJ (2004) MedPost: a part-of-speech tagger for bio-Medical text. Bioinformatics 20:2320-2321
    • (2004) Bioinformatics , vol.20 , pp. 2320-2321
    • Smith, L.1    Rindflesch, T.2    Wilbur, W.J.3
  • 64
    • 33646502601 scopus 로고    scopus 로고
    • Developing a robust part-of-speech tagger for biomedical text
    • Tsuruoka Y, Tateishi Y, Kim J-D et al (2005) Developing a robust part-of-speech tagger for biomedical text. Lect Notes Comput Sci 3746:382-392
    • (2005) Lect Notes Comput Sci , vol.3746 , pp. 382-392
    • Tsuruoka, Y.1    Tateishi, Y.2    Kim, J.-D.3
  • 69
    • 78149490620 scopus 로고    scopus 로고
    • Mayo clinical Text Analysis and Knowledge Extraction System (CTAKES): Architecture, component evaluation and applications
    • Savova GK, Masanz JJ, Ogren PV et al (2010) Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc 17:507-513
    • (2010) J am Med Inform Assoc , vol.17 , pp. 507-513
    • Savova, G.K.1    Masanz, J.J.2    Ogren, P.V.3
  • 70
    • 84927530803 scopus 로고    scopus 로고
    • Unstructured Information Management Architecture (UIMA). Available from: http:/?uima-framework.sourceforge.net
  • 71
    • 70349677742 scopus 로고    scopus 로고
    • Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports
    • Mitchell KJ, Becich MJ, Berman JJ et al (2004) Implementation and evaluation of a negation tagger in a pipeline-based system for information extract from pathology reports. Stud Health Technol Inform 107:663-667
    • (2004) Stud Health Technol Inform , vol.107 , pp. 663-667
    • Mitchell, K.J.1    Becich, M.J.2    Berman, J.J.3
  • 72
    • 0038154028 scopus 로고    scopus 로고
    • Understanding medical school curriculum content using KnowledgeMap
    • Denny JC, Smithers JD, Miller RA et al (2003) “Understanding” medical school curriculum content using KnowledgeMap. J Am Med Inform Assoc 10:351-362
    • (2003) J am Med Inform Assoc , vol.10 , pp. 351-362
    • Denny, J.C.1    Smithers, J.D.2    Miller, R.A.3
  • 73
    • 35748983563 scopus 로고    scopus 로고
    • Identifying QT prolongation from ECG impressions using natural language processing and negation detection
    • Denny J, Peterson J (2007) Identifying QT prolongation from ECG impressions using natural language processing and negation detection. Stud Health Technol Inform 129: 1283-1288
    • (2007) Stud Health Technol Inform , vol.129 , pp. 1283-1288
    • Denny, J.1    Peterson, J.2
  • 74
    • 16544378488 scopus 로고    scopus 로고
    • The KnowledgeMap project: Development of a concept-based medical school curriculum database
    • Denny JC, Pr I, Wehbe FH et al (2003) The KnowledgeMap project: development of a concept-based medical school curriculum database. AMIA Annu Symp Proc 2003:195-199
    • (2003) AMIA Annu Symp Proc , vol.2003 , pp. 195-199
    • Denny, J.C.1    Pr, I.2    Wehbe, F.H.3
  • 75
    • 84927565083 scopus 로고    scopus 로고
    • POGOe: A national repository of geriatric education materials
    • Denny JC, Soriano RP, Stein G et al (2009) POGOe: a national repository of geriatric education materials. Proc AMIA Annu Fall Symp 2009:1-192
    • (2009) Proc AMIA Annu Fall Symp , vol.2009 , pp. 1-192
    • Denny, J.C.1    Soriano, R.P.2    Stein, G.3
  • 76
    • 39049176044 scopus 로고    scopus 로고
    • Identifying UMLS concepts from ECG impressions using KnowledgeMap
    • Denny JC, Spickard A, Miller RA et al (2005) Identifying UMLS concepts from ECG impressions using KnowledgeMap. AMIA Annu Symp Proc 2005:196-200
    • (2005) AMIA Annu Symp Proc , vol.2005 , pp. 196-200
    • Denny, J.C.1    Spickard, A.2    Miller, R.A.3
  • 77
    • 62749158308 scopus 로고    scopus 로고
    • Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor
    • Denny JC, Miller RA, Waitman LR et al (2009) Identifying QT prolongation from ECG impressions using a general-purpose Natural Language Processor. Int J Med Inform 78(Suppl 1):S34-S42
    • (2009) Int J Med Inform , vol.78 , pp. 34-42
    • Denny, J.C.1    Miller, R.A.2    Waitman, L.R.3
  • 78
    • 0028403632 scopus 로고
    • A general natural-language text processor for clinical radiology
    • Friedman C, Alderson PO, Austin JH et al (1994) A general natural-language text processor for clinical radiology. J Am Med Inform Assoc 1:161-174
    • (1994) J am Med Inform Assoc , vol.1 , pp. 161-174
    • Friedman, C.1    Alderson, P.O.2    Austin, J.H.3
  • 79
    • 0028955263 scopus 로고
    • Unlocking clinical data from narrative reports: A study of natural language processing
    • Hripcsak G, Friedman C, Alderson PO et al (1995) Unlocking clinical data from narrative reports: a study of natural language processing. Ann Intern Med 122:681-688
    • (1995) Ann Intern Med , vol.122 , pp. 681-688
    • Hripcsak, G.1    Friedman, C.2    Alderson, P.O.3
  • 80
    • 0036082141 scopus 로고    scopus 로고
    • Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports
    • Hripcsak G, Austin JH, Alderson PO et al (2002) Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reports. Radiology 224:157-163
    • (2002) Radiology , vol.224 , pp. 157-163
    • Hripcsak, G.1    Austin, J.H.2    Alderson, P.O.3
  • 81
    • 0347210450 scopus 로고    scopus 로고
    • Towards a comprehensive medical language processing system: Methods and issues
    • Friedman C (1997) Towards a comprehensive medical language processing system: methods and issues. Proc AMIA Annu Fall Symp 1997:595-599
    • (1997) Proc AMIA Annu Fall Symp , vol.1997 , pp. 595-599
    • Friedman, C.1
  • 82
    • 0033258026 scopus 로고    scopus 로고
    • Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries
    • Friedman C, Knirsch C, Shagina L et al (1999) Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries. Proc AMIA Symp 1999:256-260
    • (1999) Proc AMIA Symp , vol.1999 , pp. 256-260
    • Friedman, C.1    Knirsch, C.2    Shagina, L.3
  • 83
    • 77955287813 scopus 로고    scopus 로고
    • An overview of MetaMap: Historical perspective and recent advances
    • Aronson AR, Lang FM (2010) An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc 17: 229-236
    • (2010) J am Med Inform Assoc , vol.17 , pp. 229-236
    • Aronson, A.R.1    Lang, F.M.2
  • 84
    • 54949095170 scopus 로고    scopus 로고
    • Automatic medical encoding with SNOMED categories
    • Ruch P, Gobeill J, Lovis C et al (2008) Automatic medical encoding with SNOMED categories. BMC Med Inform Decis Mak 8(Suppl 1):S6
    • (2008) BMC Med Inform Decis Mak , vol.8 , pp. 6
    • Ruch, P.1    Gobeill, J.2    Lovis, C.3
  • 85
    • 77950477064 scopus 로고    scopus 로고
    • MedEx: A medication information extraction system for clinical narratives
    • Xu H, Stenner SP, Doan S et al (2010) MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc 17:19-24
    • (2010) J am Med Inform Assoc , vol.17 , pp. 19-24
    • Xu, H.1    Stenner, S.P.2    Doan, S.3
  • 86
    • 73949089302 scopus 로고    scopus 로고
    • Extracting structured medication event information from discharge summaries
    • Gold S, Elhadad N, Zhu X et al (2008) Extracting structured medication event information from discharge summaries. AMIA Annu Symp Proc 2008:237-241
    • (2008) AMIA Annu Symp Proc , vol.2008 , pp. 237-241
    • Gold, S.1    Elhadad, N.2    Zhu, X.3
  • 87
    • 33947258447 scopus 로고    scopus 로고
    • ProMiner: Rule-based protein and gene entity recognition
    • Hanisch D, Fundel K, Mevissen HT et al (2005) ProMiner: rule-based protein and gene entity recognition. BMC Bioinformatics 6(Suppl 1):S14
    • (2005) BMC Bioinformatics , vol.6 , pp. 14
    • Hanisch, D.1    Fundel, K.2    Mevissen, H.T.3
  • 88
    • 78149476739 scopus 로고    scopus 로고
    • Textractor: A hybrid system for medications and reason for their prescription extraction from clinical text documents
    • Meystre SM, Thibault J, Shen S et al (2010) Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J Am Med Inform Assoc 17:559-562
    • (2010) J am Med Inform Assoc , vol.17 , pp. 559-562
    • Meystre, S.M.1    Thibault, J.2    Shen, S.3
  • 90
    • 8444226720 scopus 로고    scopus 로고
    • Term identification in the biomedical literature
    • Krauthammer M, Nenadic G (2004) Term identification in the biomedical literature. J Biomed Inform 37:512-526
    • (2004) J Biomed Inform , vol.37 , pp. 512-526
    • Krauthammer, M.1    Nenadic, G.2
  • 91
    • 40549140499 scopus 로고    scopus 로고
    • BANNER: An executable survey of advances in biomedical named entity recognition
    • Leaman R, Gonzalez G (2008) BANNER: an executable survey of advances in biomedical named entity recognition. Pac Symp Biocomput 2008:652-663
    • (2008) Pac Symp Biocomput , vol.2008 , pp. 652-663
    • Leaman, R.1    Gonzalez, G.2
  • 93
    • 80053271549 scopus 로고    scopus 로고
    • A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries
    • Jiang M, Chen Y, Liu M et al (2011) A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries. J Am Med Inform Assoc 18:601-606
    • (2011) J am Med Inform Assoc , vol.18 , pp. 601-606
    • Jiang, M.1    Chen, Y.2    Liu, M.3
  • 94
    • 55549101625 scopus 로고    scopus 로고
    • Word sense disambiguation across two domains: Biomedical literature and clinical notes
    • Savova GK, Coden AR, Sominsky IL et al (2008) Word sense disambiguation across two domains: biomedical literature and clinical notes. J Biomed Inform 41: 1088-1100
    • (2008) J Biomed Inform , vol.41 , pp. 1088-1100
    • Savova, G.K.1    Coden, A.R.2    Sominsky, I.L.3
  • 95
    • 79959546493 scopus 로고    scopus 로고
    • Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation
    • Jimeno-Yepes AJ, McInnes BT, Aronson AR (2011) Exploiting MeSH indexing in MEDLINE to generate a data set for word sense disambiguation. BMC Bioinformatics 12:223
    • (2011) BMC Bioinformatics , vol.12 , pp. 223
    • Jimeno-Yepes, A.J.1    McInnes, B.T.2    Aronson, A.R.3
  • 96
    • 84857161451 scopus 로고    scopus 로고
    • Exploiting domain information for Word Sense Disambiguation of medical documents
    • Stevenson M, Agirre E, Soroa A (2012) Exploiting domain information for Word Sense Disambiguation of medical documents. J Am Med Inform Assoc 19:235-240
    • (2012) J am Med Inform Assoc , vol.19 , pp. 235-240
    • Stevenson, M.1    Agirre, E.2    Soroa, A.3
  • 97
    • 80053292637 scopus 로고    scopus 로고
    • Shen S et al (2011) 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
    • Uzuner O, South BR, Shen S et al (2011) 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J Am Med Inform Assoc 18:552-556
    • J am Med Inform Assoc , vol.18 , pp. 552-556
    • Uzuner, O.1    South, B.R.2
  • 98
    • 84864128230 scopus 로고    scopus 로고
    • Detection of pharmacovigilance-related adverse events using electronic health records and automated methods
    • Haerian K, Varn D, Vaidya S et al (2012) Detection of pharmacovigilance-related adverse events using electronic health records and automated methods. Clin Pharmacol Ther 92:228-234
    • (2012) Clin Pharmacol Ther , vol.92 , pp. 228-234
    • Haerian, K.1    Varn, D.2    Vaidya, S.3
  • 102
    • 77956517407 scopus 로고    scopus 로고
    • Discovering drug-drug interactions: A text-mining and reasoning approach based on properties of drug metabolism
    • Tari L, Anwar S, Liang S et al (2010) Discovering drug-drug interactions: a text-mining and reasoning approach based on properties of drug metabolism. Bioinformatics 26:i547-i553
    • (2010) Bioinformatics , vol.26 , pp. 547-553
    • Tari, L.1    Anwar, S.2    Liang, S.3
  • 103
    • 84899409127 scopus 로고    scopus 로고
    • Annotation analysis for testing drug safety signals using unstructured clinical notes
    • Lependu P, Iyer SV, Fairon C et al (2012) Annotation analysis for testing drug safety signals using unstructured clinical notes. J Biomed Semantics 3(Suppl 1):S5
    • (2012) J Biomed Semantics , vol.3 , pp. 5
    • Lependu, P.1    Iyer, S.V.2    Fairon, C.3
  • 104
    • 84864204553 scopus 로고    scopus 로고
    • Enhancing adverse drug event detection in electronic health records using molecular structure similarity: Application to pancreatitis
    • Vilar S, Harpaz R, Santana L et al (2012) Enhancing adverse drug event detection in electronic health records using molecular structure similarity: application to pancreatitis. PLoS One 7:e41471
    • (2012) Plos One , vol.7
    • Vilar, S.1    Harpaz, R.2    Santana, L.3
  • 106
    • 84878134737 scopus 로고    scopus 로고
    • Practice-based evidence: Profiling the safety of cilostazol by text-mining of clinical notes
    • Leeper NJ, Bauer-Mehren A, Iyer SV et al (2013) Practice-based evidence: profiling the safety of cilostazol by text-mining of clinical notes. PLoS One 8:e63499
    • (2013) Plos One , vol.8
    • Leeper, N.J.1    Bauer-Mehren, A.2    Iyer, S.V.3
  • 107
    • 84866067701 scopus 로고    scopus 로고
    • Literature based drug interaction prediction with clinical assessment using electronic medical records: Novel myopathy associated drug interactions
    • Duke JD, Han X, Wang Z et al (2012) Literature based drug interaction prediction with clinical assessment using electronic medical records: novel myopathy associated drug interactions. PLoS Comput Biol 8:e1002614
    • (2012) Plos Comput Biol , vol.8
    • Duke, J.D.1    Han, X.2    Wang, Z.3
  • 108
    • 84886264484 scopus 로고    scopus 로고
    • Automatic detection of adverse events to predict drug label changes using text and data mining techniques
    • Gurulingappa H, Toldo L, Rajput AM et al (2013) Automatic detection of adverse events to predict drug label changes using text and data mining techniques. Pharmacoepidemiol Drug Saf 22:1189-1194
    • (2013) Pharmacoepidemiol Drug Saf , vol.22 , pp. 1189-1194
    • Gurulingappa, H.1    Toldo, L.2    Rajput, A.M.3
  • 109
    • 84855919063 scopus 로고    scopus 로고
    • Identifying potential adverse effects using the web: A new approach to medical hypothesis generation
    • Benton A, Ungar L, Hill S et al (2011) Identifying potential adverse effects using the web: a new approach to medical hypothesis generation. J Biomed Inform 44:989-996
    • (2011) J Biomed Inform , vol.44 , pp. 989-996
    • Benton, A.1    Ungar, L.2    Hill, S.3
  • 112
    • 84874210162 scopus 로고    scopus 로고
    • Pattern mining for extraction of mentions of adverse drug reactions from user comments
    • Nikfarjam A, Gonzalez GH (2011) Pattern mining for extraction of mentions of adverse drug reactions from user comments. AMIA Annu Symp Proc 2011:1019-1026
    • (2011) AMIA Annu Symp Proc , vol.2011 , pp. 1019-1026
    • Nikfarjam, A.1    Gonzalez, G.H.2
  • 113
    • 84870452887 scopus 로고    scopus 로고
    • A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations
    • Wang W, Haerian K, Salmasian H, et al (2011) A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations. AMIA Annu Symp Proc 2011:1464-1470
    • (2011) AMIA Annu Symp Proc , vol.2011 , pp. 1464-1470
    • Wang, W.1    Haerian, K.2    Salmasian, H.3
  • 114
    • 84878123780 scopus 로고    scopus 로고
    • Using temporal patterns in medical records to discern adverse drug events from indications
    • Liu Y, Lependu P, Iyer S et al (2012) Using temporal patterns in medical records to discern adverse drug events from indications. AMIA Summits Transl Sci Proc 2012:47-56
    • (2012) AMIA Summits Transl Sci Proc , vol.2012 , pp. 47-56
    • Liu, Y.1    Lependu, P.2    Iyer, S.3
  • 115
    • 80054105160 scopus 로고    scopus 로고
    • Mining FDA drug labels using an unsupervised learning technique: Topic modeling
    • Bisgin H, Liu Z, Fang H et al (2011) Mining FDA drug labels using an unsupervised learning technique: topic modeling. BMC Bioinformatics 12(Suppl 10):S11
    • (2011) BMC Bioinformatics , vol.12 , pp. 11
    • Bisgin, H.1    Liu, Z.2    Fang, H.3
  • 116
    • 84880827735 scopus 로고    scopus 로고
    • Automatic adverse drug events detection using letters to the editor
    • Yang C, Srinivasan P, Polgreen PM (2012) Automatic adverse drug events detection using letters to the editor. AMIA Annu Symp Proc 2012:1030-1039
    • (2012) AMIA Annu Symp Proc , vol.2012 , pp. 1030-1039
    • Yang, C.1    Srinivasan, P.2    Polgreen, P.M.3
  • 117
    • 84942412129 scopus 로고    scopus 로고
    • Extraction of potential adverse drug events from medical case reports
    • Gurulingappa H, Mateen-Rajput A, Toldo L (2012) Extraction of potential adverse drug events from medical case reports. J Biomed Semantics 3:15
    • (2012) J Biomed Semantics , vol.3 , pp. 15
    • Gurulingappa, H.1    Mateen-Rajput, A.2    Toldo, L.3
  • 118
    • 84865989881 scopus 로고    scopus 로고
    • Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
    • Gurulingappa H, Rajput AM, Roberts A et al (2012) Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports. J Biomed Inform 45:885-892
    • (2012) J Biomed Inform , vol.45 , pp. 885-892
    • Gurulingappa, H.1    Rajput, A.M.2    Roberts, A.3
  • 121
    • 79959655291 scopus 로고    scopus 로고
    • Using a shallow linguistic kernel for drug-drug interaction extraction
    • Segura-Bedmar I, Martinez P, de Pablo-Sanchez C (2011) Using a shallow linguistic kernel for drug-drug interaction extraction. J Biomed Inform 44:789-804
    • (2011) J Biomed Inform , vol.44 , pp. 789-804
    • Segura-Bedmar, I.1    Martinez, P.2    De Pablo-Sanchez, C.3
  • 122
    • 84868334650 scopus 로고    scopus 로고
    • A single kernel-based approach to extract drug-drug interactions from biomedical literature
    • Zhang Y, Lin H, Yang Z et al (2012) A single kernel-based approach to extract drug-drug interactions from biomedical literature. PLoS One 7:e48901
    • (2012) Plos One , vol.7
    • Zhang, Y.1    Lin, H.2    Yang, Z.3
  • 123
    • 84858300305 scopus 로고    scopus 로고
    • Discovery and explanation of drug-drug interactions via text mining
    • Percha B, Garten Y, Altman RB (2012) Discovery and explanation of drug-drug interactions via text mining. Pac Symp Biocomput 2012:410-421
    • (2012) Pac Symp Biocomput , vol.2012 , pp. 410-421
    • Percha, B.1    Garten, Y.2    Altman, R.B.3
  • 124
    • 84887608053 scopus 로고    scopus 로고
    • Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions
    • Kolchinsky A, Lourenco A, Li L et al (2013) Evaluation of linear classifiers on articles containing pharmacokinetic evidence of drug-drug interactions. Pac Symp Biocomput 2013:409-420
    • (2013) Pac Symp Biocomput , vol.2013 , pp. 409-420
    • Kolchinsky, A.1    Lourenco, A.2    Li, L.3
  • 125
    • 85119344799 scopus 로고    scopus 로고
    • Using natural language processing to identify pharmacokinetic drug-drug interactions described in drug package inserts
    • June 8, 2012, Association for Computational Linguistics, Montreal, Canada
    • Boyce R, Gardner G, Harkema H (2012) Using natural language processing to identify pharmacokinetic drug-drug interactions described in drug package inserts. In: Proceedings of the 2012 workshop on biomedical natural language processing (BioNLP 2012), June 8, 2012, Association for Computational Linguistics, Montreal, Canada, p 206-213
    • (2012) Proceedings of the 2012 Workshop on Biomedical Natural Language Processing (Bionlp 2012) , pp. 206-213
    • Boyce, R.1    Gardner, G.2    Harkema, H.3
  • 126
    • 84878962314 scopus 로고    scopus 로고
    • Extracting drug-drug interaction from the biomedical literature using a stacked generalization-based approach
    • He L, Yang Z, Zhao Z et al (2013) Extracting drug-drug interaction from the biomedical literature using a stacked generalization-based approach. PLoS One 8:e65814
    • (2013) Plos One , vol.8
    • He, L.1    Yang, Z.2    Zhao, Z.3
  • 127
    • 84867675481 scopus 로고    scopus 로고
    • Drug-drug interaction through molecular structure similarity analysis
    • Vilar S, Harpaz R, Uriarte E et al (2012) Drug-drug interaction through molecular structure similarity analysis. J Am Med Inform Assoc 19:1066-1074
    • (2012) J am Med Inform Assoc , vol.19 , pp. 1066-1074
    • Vilar, S.1    Harpaz, R.2    Uriarte, E.3
  • 128
    • 76149120425 scopus 로고    scopus 로고
    • A side effect resource to capture phenotypic effects of drugs
    • Kuhn M, Campillos M, Letunic I et al (2010) A side effect resource to capture phenotypic effects of drugs. Mol Syst Biol 6:343
    • (2010) Mol Syst Biol , vol.6 , pp. 343
    • Kuhn, M.1    Campillos, M.2    Letunic, I.3
  • 129
    • 38549130733 scopus 로고    scopus 로고
    • STITCH: Interaction networks of chemicals and proteins
    • Kuhn M, von Mering C, Campillos M et al (2008) STITCH: interaction networks of chemicals and proteins. Nucleic Acids Res 36:D684-D688
    • (2008) Nucleic Acids Res , vol.36 , pp. 684-688
    • Kuhn, M.1    Von Mering, C.2    Campillos, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.