메뉴 건너뛰기




Volumn 58, Issue , 2015, Pages S171-S182

A hybrid model for automatic identification of risk factors for heart disease

Author keywords

Clinical text mining; Heart disease; Hybrid model; Machine learning; Natural language processing; Risk factors; Rule based approach

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; CARDIOLOGY; COMPUTATIONAL LINGUISTICS; COMPUTER AIDED DESIGN; DATA MINING; HEART; INFORMATION RETRIEVAL SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MEDICAL INFORMATION SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SPEECH PROCESSING;

EID: 84945353785     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.09.006     Document Type: Article
Times cited : (65)

References (33)
  • 1
    • 84919461605 scopus 로고    scopus 로고
    • Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records
    • Byrda R.J., Steinhublb S.R., Suna J., Ebadollahi S., Stewart W.F. Automatic identification of heart failure diagnostic criteria, using text analysis of clinical notes from electronic health records. J. Med. Inform. 2014, 83(12):983-992.
    • (2014) J. Med. Inform. , vol.83 , Issue.12 , pp. 983-992
    • Byrda, R.J.1    Steinhublb, S.R.2    Suna, J.3    Ebadollahi, S.4    Stewart, W.F.5
  • 2
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • Chapman W.W., Bridwell W., Hanbury P., Cooper G.F., Buchanan B.G. A simple algorithm for identifying negated findings and diseases in discharge summaries. J. Biomed. Inform. 2001, 34:301-310.
    • (2001) J. Biomed. Inform. , vol.34 , pp. 301-310
    • Chapman, W.W.1    Bridwell, W.2    Hanbury, P.3    Cooper, G.F.4    Buchanan, B.G.5
  • 3
    • 80053240828 scopus 로고    scopus 로고
    • Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solution
    • Chapman W.W., Nadkarni P.M., Hirschman L., D'Avolio L.W., Savova G.K., Uzuner Ö. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solution. J. Am. Med. Inform. Assoc. 2011, 18(5):540-543.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.5 , pp. 540-543
    • Chapman, W.W.1    Nadkarni, P.M.2    Hirschman, L.3    D'Avolio, L.W.4    Savova, G.K.5    Uzuner, Ö.6
  • 5
    • 80053285250 scopus 로고    scopus 로고
    • MITRE system for clinical assertion status classification
    • Clark C., Aberdeen J., Coarr M., et al. MITRE system for clinical assertion status classification. J. Am. Med. Inform. Assoc. 2011, 18(5):563-567.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.5 , pp. 563-567
    • Clark, C.1    Aberdeen, J.2    Coarr, M.3
  • 6
    • 77957745322 scopus 로고    scopus 로고
    • Cardiovascular risk factors and models of risk prediction: recognizing the leadership of Dr Roy Dawber
    • Davis M., Andrade J., Taylor C., Ignaszewski A. Cardiovascular risk factors and models of risk prediction: recognizing the leadership of Dr Roy Dawber. BCMJ 2010, 52(7):342-348.
    • (2010) BCMJ , vol.52 , Issue.7 , pp. 342-348
    • Davis, M.1    Andrade, J.2    Taylor, C.3    Ignaszewski, A.4
  • 7
    • 77958179752 scopus 로고    scopus 로고
    • Extracting timing and status descriptors for colonoscopy testing from electronic medical records
    • Denny J.C., Peterson J.F., Choma N.N., et al. Extracting timing and status descriptors for colonoscopy testing from electronic medical records. J. Am. Med. Inform. Assoc. 2010, 17:383-388.
    • (2010) J. Am. Med. Inform. Assoc. , vol.17 , pp. 383-388
    • Denny, J.C.1    Peterson, J.F.2    Choma, N.N.3
  • 8
    • 80053241946 scopus 로고    scopus 로고
    • Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010
    • de Bruijn B., Cherry C., Kiritchenko S., Martin J., Zhu X. Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010. J. Am. Med. Inform. Assoc. 2011, 18(5):557-562.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.5 , pp. 557-562
    • de Bruijn, B.1    Cherry, C.2    Kiritchenko, S.3    Martin, J.4    Zhu, X.5
  • 9
    • 70349467729 scopus 로고    scopus 로고
    • What can natural language processing do for clinical decision support?
    • Demner-Fushman D., Chapman W.W., McDonald C.J. What can natural language processing do for clinical decision support?. J. Biomed. Inform. 2009, 42(5):760-772.
    • (2009) J. Biomed. Inform. , vol.42 , Issue.5 , pp. 760-772
    • Demner-Fushman, D.1    Chapman, W.W.2    McDonald, C.J.3
  • 13
    • 50649122567 scopus 로고    scopus 로고
    • Extracting information from textual documents in the electronic health record: a review of recent research
    • Meystre S.M., Savova G.K., Kipper-Schuler K.C., Hurdle J.F. Extracting information from textual documents in the electronic health record: a review of recent research. Yearb. Med. Inform. 2008, 128-44.
    • (2008) Yearb. Med. Inform.
    • Meystre, S.M.1    Savova, G.K.2    Kipper-Schuler, K.C.3    Hurdle, J.F.4
  • 14
    • 78149476739 scopus 로고    scopus 로고
    • Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents
    • Meystre S.M., Thibault J., Shen S., Hurdle J.F., South B.R. Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J. Am. Med. Inform. Assoc. 2010, 17(5):559-562.
    • (2010) J. Am. Med. Inform. Assoc. , vol.17 , Issue.5 , pp. 559-562
    • Meystre, S.M.1    Thibault, J.2    Shen, S.3    Hurdle, J.F.4    South, B.R.5
  • 15
    • 67649343941 scopus 로고    scopus 로고
    • A rule-based approach for identifying obesity and its comorbidities in medical discharge summaries
    • Mishra N.K., Cummo D.M., Arnzen J.J., Bonander J. A rule-based approach for identifying obesity and its comorbidities in medical discharge summaries. J. Am. Med. Inform. Assoc. 2009, 16(4):576-579.
    • (2009) J. Am. Med. Inform. Assoc. , vol.16 , Issue.4 , pp. 576-579
    • Mishra, N.K.1    Cummo, D.M.2    Arnzen, J.J.3    Bonander, J.4
  • 17
    • 84861842176 scopus 로고    scopus 로고
    • Comparisons of established risk prediction models for cardiovascular disease: systematic review
    • Siontis G.C., Tzoulaki I., Siontis K.C., Ioannidis J.P.A. Comparisons of established risk prediction models for cardiovascular disease: systematic review. BMJ 2012, 344:e3318.
    • (2012) BMJ , vol.344 , pp. e3318
    • Siontis, G.C.1    Tzoulaki, I.2    Siontis, K.C.3    Ioannidis, J.P.A.4
  • 20
    • 84940707615 scopus 로고    scopus 로고
    • Annotating risk factors for heart disease in clinical narratives for diabetic patients
    • May 21
    • A. Stubbs, Ö. Uzuner, Annotating risk factors for heart disease in clinical narratives for diabetic patients, J. Biomed. Inform., 58S (2015) S78-S91, May 21. pii:S1532-0464(15)00089-1.
    • (2015) J. Biomed. Inform. , vol.58S , pp. S78-S91
    • Stubbs, A.1    Uzuner, Ö.2
  • 21
    • 84882744737 scopus 로고    scopus 로고
    • Evaluating temporal relations in clinical text: 2012 i2b2 Challenge
    • Sun W., Rumshisky A., Uzuner Ö. Evaluating temporal relations in clinical text: 2012 i2b2 Challenge. J. Am. Med. Inform. Assoc. 2013, 20(5):806-813.
    • (2013) J. Am. Med. Inform. Assoc. , vol.20 , Issue.5 , pp. 806-813
    • Sun, W.1    Rumshisky, A.2    Uzuner, Ö.3
  • 22
    • 84881139675 scopus 로고    scopus 로고
    • A hybrid system for temporal information extraction from clinical text
    • Tang B., Wu Y., Jiang M., Chen Y., Denny J.C., Xu H. A hybrid system for temporal information extraction from clinical text. J. Am. Med. Inform. Assoc. 2013, 20(5):828-835.
    • (2013) J. Am. Med. Inform. Assoc. , vol.20 , Issue.5 , pp. 828-835
    • Tang, B.1    Wu, Y.2    Jiang, M.3    Chen, Y.4    Denny, J.C.5    Xu, H.6
  • 24
    • 67649352145 scopus 로고    scopus 로고
    • Recognizing obesity and comorbidities in sparse data
    • Uzuner Ö. Recognizing obesity and comorbidities in sparse data. J. Am. Med. Inform. Assoc. 2009, 16(4):561-570.
    • (2009) J. Am. Med. Inform. Assoc. , vol.16 , Issue.4 , pp. 561-570
    • Uzuner, Ö.1
  • 25
    • 34548516061 scopus 로고    scopus 로고
    • Identifying patient smoking status from medical discharge records
    • Uzuner Ö., Goldstein I., Luo Y., Kohane I. Identifying patient smoking status from medical discharge records. J. Am. Med. Inform. Assoc. 2008, 15(1):14-24.
    • (2008) J. Am. Med. Inform. Assoc. , vol.15 , Issue.1 , pp. 14-24
    • Uzuner, Ö.1    Goldstein, I.2    Luo, Y.3    Kohane, I.4
  • 26
    • 78149480799 scopus 로고    scopus 로고
    • Extracting medication information from clinical text
    • Uzuner Ö., Solti I., Cadag E. Extracting medication information from clinical text. J. Am. Med. Inform. Assoc. 2010, 17(5):514-518.
    • (2010) J. Am. Med. Inform. Assoc. , vol.17 , Issue.5 , pp. 514-518
    • Uzuner, Ö.1    Solti, I.2    Cadag, E.3
  • 27
    • 80053292637 scopus 로고    scopus 로고
    • 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
    • Uzuner Ö., South B.R., Shen S., DuVall S.L. 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. J. Am. Med. Inform. Assoc. 2011, 18(5):552-556.
    • (2011) J. Am. Med. Inform. Assoc. , vol.18 , Issue.5 , pp. 552-556
    • Uzuner, Ö.1    South, B.R.2    Shen, S.3    DuVall, S.L.4
  • 28
    • 0032510639 scopus 로고    scopus 로고
    • Prediction of coronary heart disease using risk factor categories
    • Wilson P.W., D'Agostino R.B., Levy D. Prediction of coronary heart disease using risk factor categories. Circulation 1998, 97:1837-1847.
    • (1998) Circulation , vol.97 , pp. 1837-1847
    • Wilson, P.W.1    D'Agostino, R.B.2    Levy, D.3
  • 29
    • 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(5):545-548.
    • (2010) J. Am. Med. Inform. Assoc. , vol.17 , Issue.5 , pp. 545-548
    • Yang, H.1
  • 30
    • 67649342013 scopus 로고    scopus 로고
    • A text mining approach to the prediction of disease status from clinical discharge summaries
    • Yang H., Spasic I., Keane J.A., Nenadic G. A text mining approach to the prediction of disease status from clinical discharge summaries. J. Am. Med. Inform. Assoc. 2009, 16(4):596-600.
    • (2009) J. Am. Med. Inform. Assoc. , vol.16 , Issue.4 , pp. 596-600
    • Yang, H.1    Spasic, I.2    Keane, J.A.3    Nenadic, G.4
  • 31
    • 84938717641 scopus 로고    scopus 로고
    • Automatic detection of protected health information from clinic narratives
    • H. Yang, J. Garibaldi, Automatic detection of protected health information from clinic narratives. The 2014 i2b2 Challenge Workshop, 58S (2015) S30-S38.
    • (2015) The 2014 i2b2 Challenge Workshop , vol.58S , pp. S30-S38
    • Yang, H.1    Garibaldi, J.2
  • 32
    • 84869006990 scopus 로고    scopus 로고
    • A Hybrid model for automatic emotion recognition in suicide notes
    • Yang H., Willis A., Roeck Ad., Nuseibeh B. A Hybrid model for automatic emotion recognition in suicide notes. Biomed. Inform. Insights 2012, 5(Suppl. 1):17-30.
    • (2012) Biomed. Inform. Insights , vol.5 , pp. 17-30
    • Yang, H.1    Willis, A.2    Roeck, A.3    Nuseibeh, B.4
  • 33
    • 84987794647 scopus 로고    scopus 로고
    • Clinical prediction of incident heart failure risk: a systematic review and meta-analysis
    • Yang H., Negishi K., Otahal P., Marwick T.H. Clinical prediction of incident heart failure risk: a systematic review and meta-analysis. Open Heart 2015, 2(1):e000222.
    • (2015) Open Heart , vol.2 , Issue.1 , pp. e000222
    • Yang, H.1    Negishi, K.2    Otahal, P.3    Marwick, T.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.