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Volumn , Issue , 2017, Pages 4199-4202

Intuitive and interpretable visual communication of a complex statistical model of disease progression and risk

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER INTERFACE; DISEASE EXACERBATION; HUMAN; MACHINE LEARNING; RISK; SOFTWARE; STATISTICAL MODEL;

EID: 85032186573     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2017.8037782     Document Type: Conference Paper
Times cited : (3)

References (20)
  • 1
    • 84950237401 scopus 로고    scopus 로고
    • Discovering hospital admission patterns using models learnt from electronic hospital records
    • O. Arandjelovíc. Discovering hospital admission patterns using models learnt from electronic hospital records. Bioinformatics, 31(24):3970-3976, 2015.
    • (2015) Bioinformatics , vol.31 , Issue.24 , pp. 3970-3976
    • Arandjelovíc, O.1
  • 3
    • 85007179639 scopus 로고    scopus 로고
    • On the discovery of hospital admission patterns-A clarification
    • O. Arandjelovíc. On the discovery of hospital admission patterns-A clarification. Bioinformatics, 32(13):2078, 2016.
    • (2016) Bioinformatics , vol.32 , Issue.13 , pp. 2078
    • Arandjelovíc, O.1
  • 5
    • 84988519842 scopus 로고    scopus 로고
    • Sociotechnical analysis of nurses' use of personal mobile phones at work
    • J. R. Bautista and T. T. Lin. Sociotechnical analysis of nurses' use of personal mobile phones at work. International Journal of Medical Informatics, 95:71-80, 2016.
    • (2016) International Journal of Medical Informatics , vol.95 , pp. 71-80
    • Bautista, J.R.1    Lin, T.T.2
  • 9
    • 84864697450 scopus 로고    scopus 로고
    • Hospital strategies to reduce heart failure readmissions
    • J. Butler and A. Kalogeropoulos. Hospital strategies to reduce heart failure readmissions. J Am Coll Cardiol, 60(7):615-617, 2012.
    • (2012) J Am Coll Cardiol , vol.60 , Issue.7 , pp. 615-617
    • Butler, J.1    Kalogeropoulos, A.2
  • 12
  • 13
    • 84876725346 scopus 로고    scopus 로고
    • Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems
    • A. Onisko and M. J. Druzdzel. Impact of precision of Bayesian network parameters on accuracy of medical diagnostic systems. Artif Intell Med, 57(3):197-206, 2013.
    • (2013) Artif Intell Med , vol.57 , Issue.3 , pp. 197-206
    • Onisko, A.1    Druzdzel, M.J.2
  • 19
    • 85032199900 scopus 로고    scopus 로고
    • Diagnosis prediction from electronic health records (EHR) using the binary diagnosis history vector representation
    • I. Vasiljeva and O. Arandjelovíc. Diagnosis prediction from electronic health records (EHR) using the binary diagnosis history vector representation. Journal of Computational Biology, 2017.
    • (2017) Journal of Computational Biology
    • Vasiljeva, I.1    Arandjelovíc, O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.