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Volumn 51, Issue 1, 2016, Pages 41-42

'Coming of Age' of artificial intelligence: Evolution of survivorship care through information technology

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HUMAN; SURVIVAL RATE;

EID: 84953360337     PISSN: 02683369     EISSN: 14765365     Source Type: Journal    
DOI: 10.1038/bmt.2015.271     Document Type: Note
Times cited : (7)

References (6)
  • 3
    • 84953358126 scopus 로고    scopus 로고
    • Next generation long-term transplant clinics: Improving resource utilization and the quality of care through health information technology
    • Rioth MJ, Warner, Savani BN, Jagasia M. Next generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology. Bone Marrow Transplant 2016; 51: 34-40.
    • (2016) Bone Marrow Transplant , vol.51 , pp. 34-40
    • Rioth, M.J.1    Warner2    Savani, B.N.3    Jagasia, M.4
  • 4
    • 66149157263 scopus 로고    scopus 로고
    • Digital disease detection-harnessing the web for public health surveillance
    • Brownstein JS., Freifeld CC, Madoff LC. Digital disease detection-harnessing the Web for public health surveillance. N Engl J Med 2009; 360: 2153-2157.
    • (2009) N Engl J Med , vol.360 , pp. 2153-2157
    • Brownstein, J.S.1    Freifeld, C.C.2    Madoff, L.C.3
  • 5
    • 84937801713 scopus 로고    scopus 로고
    • Machine learning: Trends, perspectives, and prospects
    • Jordan MI, Mitchell TM. Machine learning: trends, perspectives, and prospects. Science 2015; 349: 255-260.
    • (2015) Science , vol.349 , pp. 255-260
    • Jordan, M.I.1    Mitchell, T.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.