메뉴 건너뛰기




Volumn 21, Issue 5, 2014, Pages 858-865

MedXN: An open source medication extraction and normalization tool for clinical text

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; ANGIOPEPTIN; ANTIBIOTIC AGENT; ISOSORBIDE 5 NITRATE; LORATADINE; RECOMBINANT ERYTHROPOIETIN; SALAZOSULFAPYRIDINE; VITAMIN; WHITE PETROLATUM;

EID: 84906323732     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002190     Document Type: Article
Times cited : (69)

References (59)
  • 1
    • 0031012726 scopus 로고    scopus 로고
    • The costs of adverse drug events in hospitalized patients
    • Bates DW, Spell N, Cullen DJ, et al. The costs of adverse drug events in hospitalized patients. JAMA 1997;277:307-11.
    • (1997) JAMA , vol.277 , pp. 307-311
    • Bates, D.W.1    Spell, N.2    Cullen, D.J.3
  • 3
    • 8344284174 scopus 로고    scopus 로고
    • Reconciliation of discrepancies in medication histories and admission orders of newly hospitalized patients
    • Gleason KM, Groszek JM, Sullivan C, et al. Reconciliation of discrepancies in medication histories and admission orders of newly hospitalized patients. Am J Health Syst Pharm 2004;61:1689-94.
    • (2004) Am J Health Syst Pharm , vol.61 , pp. 1689-1694
    • Gleason, K.M.1    Groszek, J.M.2    Sullivan, C.3
  • 4
    • 65649144105 scopus 로고    scopus 로고
    • Patient Safety and Quality: An Evidence-based Handbook for Nurses.
    • Agency for Healthcare Research and Quality (AHRQ)
    • Hughes RG, Barnsteiner JH. Patient Safety and Quality: An Evidence-based Handbook for Nurses. Agency for Healthcare Research and Quality (AHRQ), 2008.
    • (2008)
    • Hughes, R.G.1    Barnsteiner, J.H.2
  • 5
    • 84906325040 scopus 로고    scopus 로고
    • The Joint Commission. Medication reconciliation. Sentinel event alert.
    • The Joint Commission. Medication reconciliation. Sentinel event alert. 2006. http:// www.jointcommission.org/sentinel_event_alert_issue_35_using_medication_ reconciliation_to_prevent_errors/
    • (2006)
  • 7
    • 28244492953 scopus 로고    scopus 로고
    • RxNorm: prescription for electronic drug information exchange
    • Liu S, Ma W, Moore R, et al. RxNorm: prescription for electronic drug information exchange. IT Prof 2005;7:17-23.
    • (2005) IT Prof , vol.7 , pp. 17-23
    • Liu, S.1    Ma, W.2    Moore, R.3
  • 8
    • 84906325041 scopus 로고    scopus 로고
    • RxNORM.
    • RxNORM. http://www.nlm.nih.gov/research/umls/rxnorm/
  • 9
    • 84906325033 scopus 로고    scopus 로고
    • UIMA.
    • UIMA. http://incubator.apache.org/uima/
  • 10
    • 84906325028 scopus 로고    scopus 로고
    • UMLS.
    • UMLS. http://www.nlm.nih.gov/research/umls/
  • 11
    • 84906325029 scopus 로고    scopus 로고
    • MeSH.
    • MeSH. http://www.nlm.nih.gov/mesh/
  • 12
    • 84906325030 scopus 로고    scopus 로고
    • SNOMED-CT.
    • SNOMED-CT. http://www.nlm.nih.gov/research/umls/Snomed/snomed_main.html
  • 13
    • 33947321307 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE task 1B: normalized gene lists
    • Hirschman L, Colosimo M, Morgan A, et al. Overview of BioCreAtIvE task 1B: normalized gene lists. BMC Bioinform 2005;6(Suppl 1):S11.
    • (2005) BMC Bioinform , vol.6 , Issue.SUPPL 1
    • Hirschman, L.1    Colosimo, M.2    Morgan, A.3
  • 14
    • 33947304181 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE: critical assessment of information extraction for biology
    • Hirschman L, Yeh A, Blaschke C, et al. Overview of BioCreAtIvE: critical assessment of information extraction for biology. BMC Bioinform 2005;6(Suppl 1):S1.
    • (2005) BMC Bioinform , vol.6 , Issue.SUPPL 1
    • Hirschman, L.1    Yeh, A.2    Blaschke, C.3
  • 15
    • 78651322886 scopus 로고    scopus 로고
    • Normalizing Interactor Proteins and Extracting Interaction Protein Pairs using Support Vector Machines
    • Madrid, Spain; 2009
    • Chen Y. Normalizing Interactor Proteins and Extracting Interaction Protein Pairs using Support Vector Machines. BioCreative II.5 Workshop 2009; Madrid, Spain; 2009: 29.
    • (2009) BioCreative II.5 Workshop , pp. 29
    • Chen, Y.1
  • 16
    • 84906318084 scopus 로고    scopus 로고
    • Online protein interaction extraction and normalization at Arizona State University: Dictionary matching to find gene
    • Madrid, Spain; 2009
    • Hakenberg J. Online protein interaction extraction and normalization at Arizona State University: Dictionary matching to find gene. BioCreative II.5 Workshop 2009; Madrid, Spain; 2009:30.
    • (2009) BioCreative II.5 Workshop , pp. 30
    • Hakenberg, J.1
  • 17
    • 77953250276 scopus 로고    scopus 로고
    • IASL-IISR interactor normalization system using a multi-stage cross-species gene normalization algorithm and SVM-based ranking
    • Madrid, Spain; 2009
    • Dai H-J. IASL-IISR interactor normalization system using a multi-stage cross-species gene normalization algorithm and SVM-based ranking. BioCreative II.5 Workshop 2009; Madrid, Spain; 2009:31.
    • (2009) BioCreative II.5 Workshop , pp. 31
    • Dai, H.-J.1
  • 18
    • 77955460499 scopus 로고    scopus 로고
    • Information Extraction of Normalized Protein Interaction Pairs Utilizing Linguistic and Semantic Cues
    • Madrid, Spain; 2009
    • Verspoor K. Information Extraction of Normalized Protein Interaction Pairs Utilizing Linguistic and Semantic Cues. BioCreative II.5 Workshop 2009; Madrid, Spain; 2009:37.
    • (2009) BioCreative II.5 Workshop , pp. 37
    • Verspoor, K.1
  • 19
    • 0028403632 scopus 로고
    • A general natural-language text processor for clinical radiology
    • Friedman C, Alderson PO, Austin JH, et al. A general natural-language text processor for clinical radiology. J Am Med Inform Assoc 1994;1:161-74.
    • (1994) J Am Med Inform Assoc , vol.1 , pp. 161-174
    • Friedman, C.1    Alderson, P.O.2    Austin, J.H.3
  • 20
    • 78149490620 scopus 로고    scopus 로고
    • Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications
    • Savova G, Masanz J, Ogren P, et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc 2010;17:507-13.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 507-513
    • Savova, G.1    Masanz, J.2    Ogren, P.3
  • 21
    • 80053268343 scopus 로고    scopus 로고
    • Using machine learning for concept extraction on clinical documents from multiple data sources
    • Torii M, Wagholikar K, Liu H. Using machine learning for concept extraction on clinical documents from multiple data sources. J Am Med Inform Assoc 2011;18:580-7.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 580-587
    • Torii, M.1    Wagholikar, K.2    Liu, H.3
  • 22
    • 84906325031 scopus 로고    scopus 로고
    • YTEX-Yale cTAKES Extension.
    • YTEX-Yale cTAKES Extension. https://code.google.com/p/ytex/
  • 23
    • 84862820020 scopus 로고    scopus 로고
    • Using medical text extraction, reasoning and mapping system (MTERMS) to process medication information in outpatient clinical notes.
    • American Medical Informatics Association
    • Zhou L, Plasek JM, Mahoney LM, et al. Using medical text extraction, reasoning and mapping system (MTERMS) to process medication information in outpatient clinical notes. American Medical Informatics Association, 2011:1639-48.
    • (2011) , pp. 1639-1648
    • Zhou, L.1    Plasek, J.M.2    Mahoney, L.M.3
  • 24
    • 33748046130 scopus 로고    scopus 로고
    • Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
    • Zeng Q, Goryachev S, Weiss S, et al. Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system. BMC Med Inform Decis Mak 2006;6:30.
    • (2006) BMC Med Inform Decis Mak , vol.6 , pp. 30
    • Zeng, Q.1    Goryachev, S.2    Weiss, S.3
  • 25
    • 84906325024 scopus 로고    scopus 로고
    • Identifying Abdominal Aortic Aneurysm Cases and Controls using Natural Language Processing of Radiology Reports.
    • AMIA Summits Transl Sci Proc; San Francisco
    • Sohn S, Ye Z, Liu H, et al. Identifying Abdominal Aortic Aneurysm Cases and Controls using Natural Language Processing of Radiology Reports. AMIA Summits Transl Sci Proc; San Francisco; 2013.
    • (2013)
    • Sohn, S.1    Ye, Z.2    Liu, H.3
  • 26
    • 84863544591 scopus 로고    scopus 로고
    • Drug side effect extraction from clinical narratives of psychiatry and psychology patients
    • Sohn S, Kocher J-PA, Chute CG, et al. Drug side effect extraction from clinical narratives of psychiatry and psychology patients. J Am Med Inform Assoc 2011;18 (Suppl 1):144-9.
    • (2011) J Am Med Inform Assoc , vol.18 , Issue.SUPPL 1 , pp. 144-149
    • Sohn, S.1    Kocher, J.-P.A.2    Chute, C.G.3
  • 27
    • 79953776666 scopus 로고    scopus 로고
    • Mayo Clinic Smoking Status Classification System: Extensions and Improvements.
    • AMIA Annual Symposium San Francisco, CA
    • Sohn S, Savova GK. Mayo Clinic Smoking Status Classification System: Extensions and Improvements. AMIA Annual Symposium; San Francisco, CA; 2009:619-23.
    • 2009 , pp. 619-623
    • Sohn, S.1    Savova, G.K.2
  • 28
    • 84906314316 scopus 로고    scopus 로고
    • A Hybrid Approach to Sentiment Sentence Classification in Suicide Notes
    • Sohn S, Torii M, Li D, et al. A Hybrid Approach to Sentiment Sentence Classification in Suicide Notes. Biomed Inform Insights 2012;5(Suppl. 1):43-50.
    • (2012) Biomed Inform Insights , vol.5 , Issue.SUPPL 1 , pp. 43-50
    • Sohn, S.1    Torii, M.2    Li, D.3
  • 29
    • 70349467729 scopus 로고    scopus 로고
    • What can natural language processing do for clinical decision support?
    • Demner-Fushman D, Chapman W, McDonald C. What can natural language processing do for clinical decision support? J Biomed Inform 2009;42:760-72.
    • (2009) J Biomed Inform , vol.42 , pp. 760-772
    • Demner-Fushman, D.1    Chapman, W.2    McDonald, C.3
  • 31
    • 77958597919 scopus 로고    scopus 로고
    • Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease
    • Kullo IJ, Fan J, Pathak J, et al. Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 2010;17:568-74.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 568-574
    • Kullo, I.J.1    Fan, J.2    Pathak, J.3
  • 32
    • 77958522275 scopus 로고    scopus 로고
    • A genome-wide association study of red blood cell traits using the electronic medical record
    • Kullo IJ, Ding K, Jouni H, et al. A genome-wide association study of red blood cell traits using the electronic medical record. PLoS ONE 2010;5:e13011.
    • (2010) PLoS ONE , vol.5
    • Kullo, I.J.1    Ding, K.2    Jouni, H.3
  • 33
    • 4544280638 scopus 로고    scopus 로고
    • Automated encoding of clinical documents based on natural language processing
    • Friedman C, Shagina L, Lussier Y, et al. Automated encoding of clinical documents based on natural language processing. J Am Med Inform Assoc 2004;11:392.
    • (2004) J Am Med Inform Assoc , vol.11 , pp. 392
    • Friedman, C.1    Shagina, L.2    Lussier, Y.3
  • 34
    • 33747880992 scopus 로고    scopus 로고
    • Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques
    • Pakhomov SVS, Buntrock JD, Chute CG. Automating the assignment of diagnosis codes to patient encounters using example-based and machine learning techniques. J Am Med Inform Assoc 2006;13:516-25.
    • (2006) J Am Med Inform Assoc , vol.13 , pp. 516-525
    • Pakhomov, S.V.S.1    Buntrock, J.D.2    Chute, C.G.3
  • 35
    • 56149096884 scopus 로고    scopus 로고
    • Use of natural language programming to extract medication from unstructured electronic medical records.
    • Chhieng D, Day T, Gordon G, et al. Use of natural language programming to extract medication from unstructured electronic medical records. AMIA Annu Symp Proc; 2007:908.
    • (2007) AMIA Annu Symp Proc , pp. 908
    • Chhieng, D.1    Day, T.2    Gordon, G.3
  • 36
    • 15944400693 scopus 로고    scopus 로고
    • Study of effect of drug lexicons on medication extraction from electronic medical records.
    • Sirohi E, Peissig P. Study of effect of drug lexicons on medication extraction from electronic medical records. Pac Symp Biocomput; 2005:308-18.
    • (2005) Pac Symp Biocomput , pp. 308-318
    • Sirohi, E.1    Peissig, P.2
  • 37
    • 56149085213 scopus 로고    scopus 로고
    • Extraction and mapping of drug names from free text to a standardized nomenclature.
    • Levin MA, Krol M, Doshi AM, et al. Extraction and mapping of drug names from free text to a standardized nomenclature. Proc AMIA Ann Symposium; 2007:438-42.
    • (2007) Proc AMIA Ann Symposium , pp. 438-442
    • Levin, M.A.1    Krol, M.2    Doshi, A.M.3
  • 38
    • 78149480799 scopus 로고    scopus 로고
    • Extracting medication information from clinical text
    • Uzuner O, Solti I, Cadag E. Extracting medication information from clinical text. J Am Med Inform Assoc 2010;17:514-18.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 514-518
    • Uzuner, O.1    Solti, I.2    Cadag, E.3
  • 39
    • 78149481363 scopus 로고    scopus 로고
    • Improving textual medication extraction using combined conditional random fields and rule-based systems
    • Tikk D, Solt I. Improving textual medication extraction using combined conditional random fields and rule-based systems. J Am Med Inform Assoc 2010;17:540-4.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 540-544
    • Tikk, D.1    Solt, I.2
  • 40
    • 78149474640 scopus 로고    scopus 로고
    • Extracting medical information from narrative patient records: the case of medication-related information
    • Deléger L, Grouin C, Zweigenbaum P. Extracting medical information from narrative patient records: the case of medication-related information. J Am Med Inform Assoc 2010;17:555-8.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 555-558
    • Deléger, L.1    Grouin, C.2    Zweigenbaum, P.3
  • 42
    • 78149479051 scopus 로고    scopus 로고
    • Automatic extraction of medication information from medical discharge summaries
    • Yang H. Automatic extraction of medication information from medical discharge summaries. J Am Med Inform Assoc 2010;17:545-8.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 545-548
    • Yang, H.1
  • 43
    • 78149480907 scopus 로고    scopus 로고
    • Linguistic approach for identification of medication names and related information in clinical narratives
    • Hamon T, Grabar N. Linguistic approach for identification of medication names and related information in clinical narratives. J Am Med Inform Assoc 2010;17:549-54.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 549-554
    • Hamon, T.1    Grabar, N.2
  • 44
    • 78149480800 scopus 로고    scopus 로고
    • Medication information extraction with linguistic pattern matching and semantic rules
    • Spasic I, Sarafraz F, Keane JA, et al. Medication information extraction with linguistic pattern matching and semantic rules. J Am Med Inform Assoc 2010;17:532-5.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 532-535
    • Spasic, I.1    Sarafraz, F.2    Keane, J.A.3
  • 45
    • 78149492053 scopus 로고    scopus 로고
    • Integrating existing natural language processing tools for medication extraction from discharge summaries
    • Doan S, Bastarache L, Klimkowski S, et al. Integrating existing natural language processing tools for medication extraction from discharge summaries. J Am Med Inform Assoc 2010;17:528-31.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 528-531
    • Doan, S.1    Bastarache, L.2    Klimkowski, S.3
  • 46
    • 78149487508 scopus 로고    scopus 로고
    • High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge
    • Patrick J, Li M. High accuracy information extraction of medication information from clinical notes: 2009 i2b2 medication extraction challenge. J Am Med Inform Assoc 2010;17:524-7.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 524-527
    • Patrick, J.1    Li, M.2
  • 47
    • 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. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J Am Med Inform Assoc 2010;17:559-62.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 559-562
    • Meystre, S.M.1    Thibault, J.2    Shen, S.3
  • 48
    • 77955287813 scopus 로고    scopus 로고
    • An overview of MetaMap: historical perspective and recent advances
    • Aronson AR, Lang FM. An overview of MetaMap: historical perspective and recent advances. J Am Med Inform Assoc 2010;17:229-36.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 229-236
    • Aronson, A.R.1    Lang, F.M.2
  • 49
    • 78149482677 scopus 로고    scopus 로고
    • Lancet: a high precision medication event extraction system for clinical text
    • Li Z, Liu F, Antieau L, et al. Lancet: a high precision medication event extraction system for clinical text. J Am Med Inform Assoc 2010;17:563-7.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 563-567
    • Li, Z.1    Liu, F.2    Antieau, L.3
  • 50
    • 84906310408 scopus 로고    scopus 로고
    • Analysis of Cross-Institutional Medication Description Patterns in Clinical Narratives
    • Sohn S, Clark C, Halgrim S, et al. Analysis of Cross-Institutional Medication Description Patterns in Clinical Narratives. J Biomed Inform Insights 2013;6(Suppl 1):7-16.
    • (2013) J Biomed Inform Insights , vol.6 , Issue.SUPPL 1 , pp. 7-16
    • Sohn, S.1    Clark, C.2    Halgrim, S.3
  • 51
    • 84906325026 scopus 로고    scopus 로고
    • First Databank.
    • First Databank. http://www.firstdatabank.com/
  • 52
    • 84906325027 scopus 로고    scopus 로고
    • Micromedex.
    • Micromedex. http://www.micromedex.com
  • 53
    • 84906325018 scopus 로고    scopus 로고
    • Medi-Span.
    • Medi-Span. http://www.medispan.com/
  • 54
    • 84906325019 scopus 로고    scopus 로고
    • Gold Standard Drug Database.
    • Gold Standard Drug Database. www.goldstandard.com/product/gold-standard-drugdatabase/
  • 55
    • 84906325020 scopus 로고    scopus 로고
    • Cerner Multum.
    • Cerner Multum. http://www.multum.com/
  • 56
    • 85044706392 scopus 로고    scopus 로고
    • VA National Drug File Reference Terminology: a cross-institutional content coverage study
    • Brown SH, Elkin PL, Rosenbloom S, et al. VA National Drug File Reference Terminology: a cross-institutional content coverage study. Medinfo 2004;11 (Pt 1):477-81.
    • (2004) Medinfo , vol.11 , Issue.PART 1 , pp. 477-481
    • Brown, S.H.1    Elkin, P.L.2    Rosenbloom, S.3
  • 57
    • 0016518897 scopus 로고
    • Efficient string matching: an aid to bibliographic search
    • Aho AV, Corasick MJ. Efficient string matching: an aid to bibliographic search. Commun ACM 1975;18:333-40.
    • (1975) Commun ACM , vol.18 , pp. 333-340
    • Aho, A.V.1    Corasick, M.J.2
  • 58
  • 59
    • 77950477064 scopus 로고    scopus 로고
    • MedEx: a medication information extraction system for clinical narratives.
    • Xu H, Stenner SP, Doan S, et al. MedEx: a medication information extraction system for clinical narratives. J Am Med Inform Assoc 2010;17:19-24.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 19-24
    • Xu, H.1    Stenner, S.P.2    Doan, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.