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Volumn 210, Issue , 2015, Pages 369-373

Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics

Author keywords

electronic health records; heart failure; patient similarity

Indexed keywords

CARDIOLOGY; DIAGNOSIS; EHEALTH; LEARNING SYSTEMS; RECORDS MANAGEMENT;

EID: 84937422357     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-512-8-369     Document Type: Conference Paper
Times cited : (50)

References (7)
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    • 79952019435 scopus 로고    scopus 로고
    • Machine learning for patient similarity: A case study on predicting survival in cancer patient after locoregional chemotherapy
    • Chan L, Chan T, Cheng L, Mak W. Machine learning for patient similarity: A case study on predicting survival in cancer patient after locoregional chemotherapy. In IEEE International Conference on Bioinformatics and Biomedicine Workshop; 2010. p. 467-470.
    • (2010) IEEE International Conference on Bioinformatics and Biomedicine Workshop , pp. 467-470
    • Chan, L.1    Chan, T.2    Cheng, L.3    Mak, W.4
  • 4
    • 84893168894 scopus 로고    scopus 로고
    • The prevalence of disease clusters in older adults with multiple chronic diseases-a systematic literature review
    • Sinnige J, Braspenning J, Schellevis F, Wagner IS, Westert G, KorevaarJoke. The Prevalence of Disease Clusters in Older Adults with Multiple Chronic Diseases-A Systematic Literature Review. PLOS one. 2013; 8(11).
    • (2013) PLOS One. , vol.8 , Issue.11
    • Sinnige, J.1    Braspenning, J.2    Schellevis, F.3    Wagner, I.S.4    Westert, G.5    Korevaar, J.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.