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Volumn 319, Issue 1, 2018, Pages 19-20

What this computer needs is a physician humanism and artificial intelligence

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLINICAL DECISION MAKING; COMPUTER PREDICTION; DOCTOR PATIENT RELATION; ELECTRONIC MEDICAL RECORD; HUMAN; MACHINE LEARNING; PATIENT CARE; PRIORITY JOURNAL; SHORT SURVEY; ELECTRONIC HEALTH RECORD; HUMANISM; PHYSICIAN;

EID: 85040255565     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2017.19198     Document Type: Short Survey
Times cited : (282)

References (9)
  • 1
    • 84887244957 scopus 로고    scopus 로고
    • 4000 clicks: A productivity analysis of electronic medical records in a community hospital ED
    • Hill RG Jr, Sears LM, Melanson SW. 4000 clicks: a productivity analysis of electronic medical records in a community hospital ED. Am J Emerg Med. 2013;31(11):1591-1594.
    • (2013) Am J Emerg Med , vol.31 , Issue.11 , pp. 1591-1594
    • Jr, H.R.G.1    Sears, L.M.2    Melanson, S.W.3
  • 4
    • 0000245743 scopus 로고    scopus 로고
    • Statistical modeling: The two cultures
    • Breiman L. Statistical modeling: the two cultures. Stat Sci. 2001;16(3):199-123.
    • (2001) Stat Sci , vol.16 , Issue.3 , pp. 199-1123
    • Breiman, L.1
  • 5
    • 0019630593 scopus 로고
    • The doctor and the computer
    • Califf RM, Rosati RA. The doctor and the computer. West J Med. 1981;135(4):321-323.
    • (1981) West J Med , vol.135 , Issue.4 , pp. 321-323
    • Califf, R.M.1    Rosati, R.A.2
  • 7
    • 58149092842 scopus 로고    scopus 로고
    • Culture shock-patient as icon, icon as patient
    • Verghese A. Culture shock-patient as icon, icon as patient. N Engl J Med. 2008;359(26):2748-2751.
    • (2008) N Engl J Med , vol.359 , Issue.26 , pp. 2748-2751
    • Verghese, A.1
  • 8
    • 84981275873 scopus 로고    scopus 로고
    • Electronic medical record phenotyping using the anchor and learn framework
    • Halpern Y, Horng S, Choi Y, Sontag D. Electronic medical record phenotyping using the anchor and learn framework. J Am Med Inform Assoc. 2016;23 (4):731-740.
    • (2016) J Am Med Inform Assoc , vol.23 , Issue.4 , pp. 731-740
    • Halpern, Y.1    Horng, S.2    Choi, Y.3    Sontag, D.4
  • 9
    • 85027869169 scopus 로고    scopus 로고
    • Unintended consequences of machine learning in medicine
    • Cabitza F, Rasoini R, Gensini GF. Unintended consequences of machine learning in medicine. JAMA. 2017;318(6):517-518.
    • (2017) JAMA , vol.318 , Issue.6 , pp. 517-518
    • Cabitza, F.1    Rasoini, R.2    Gensini, G.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.