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Volumn 377, Issue 13, 2017, Pages 1209-1211

Lost in thought — The limits of the human mind and the future of medicine

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLINICAL DECISION MAKING; CLINICAL PRACTICE; COMPUTER; DATA PROCESSING; ELECTRONIC MEDICAL RECORD; HEALTH CARE SYSTEM; HUMAN; MACHINE LEARNING; MEDICAL EDUCATION; MEDICAL RESEARCH; MEDICINE; PRIORITY JOURNAL; SHORT SURVEY; SYSTEMS BIOLOGY; THINKING; ARTIFICIAL INTELLIGENCE; DECISION MAKING; FORECASTING; INFORMATION PROCESSING; TRENDS;

EID: 85030466573     PISSN: 00284793     EISSN: 15334406     Source Type: Journal    
DOI: 10.1056/NEJMp1705348     Document Type: Short Survey
Times cited : (191)

References (5)
  • 1
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    • Institute of Medicine. Washington, DC: National Academies Press
    • Institute of Medicine. Improving diagnosis in health care. Washington, DC: National Academies Press, 2015.
    • (2015) Improving Diagnosis in Health Care
  • 2
    • 85011588171 scopus 로고    scopus 로고
    • Early death after discharge from emergency departments: Analysis of national US insurance claims data
    • Obermeyer Z, Cohn B, Wilson M, Jena AB, Cutler DM. Early death after discharge from emergency departments: analysis of national US insurance claims data. BMJ 2017;356:j239.
    • (2017) BMJ , vol.356 , pp. j239
    • Obermeyer, Z.1    Cohn, B.2    Wilson, M.3    Jena, A.B.4    Cutler, D.M.5
  • 3
    • 80053235012 scopus 로고    scopus 로고
    • Computationally generated cardiac biomark-ers for risk stratification after acute coronary syndrome
    • Syed Z, Stultz CM, Scirica BM, Guttag JV. Computationally generated cardiac biomark-ers for risk stratification after acute coronary syndrome. Sci Transl Med 2011;3:102ra95.
    • (2011) Sci Transl Med , vol.3 , pp. 102ra95
    • Syed, Z.1    Stultz, C.M.2    Scirica, B.M.3    Guttag, J.V.4
  • 4
    • 84946040296 scopus 로고    scopus 로고
    • Identification of type 2 diabetes subgroups through topological analysis of patient similarity
    • Li L, Cheng W-Y, Glicksberg BS, et al. Identification of type 2 diabetes subgroups through topological analysis of patient similarity. Sci Transl Med 2015;7:311ra174.
    • (2015) Sci Transl Med , vol.7 , pp. 311ra174
    • Li, L.1    Cheng, W.-Y.2    Glicksberg, B.S.3
  • 5
    • 85019583517 scopus 로고    scopus 로고
    • Does machine learning automate moral hazard and error?
    • Mullainathan S, Obermeyer Z. Does machine learning automate moral hazard and error? Am Econ Rev 2017;107:476-80.
    • (2017) Am Econ Rev , vol.107 , pp. 476-480
    • Mullainathan, S.1    Obermeyer, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.