메뉴 건너뛰기




Volumn 46, Issue 7, 2018, Pages 1196-1197

Toward the "plateau of Productivity": Enhancing the Value of Machine Learning in Critical Care

Author keywords

Critical care outcomes; machine learning; risk prediction

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; ARTIFICIAL VENTILATION; BIG DATA; CLINICAL ASSESSMENT; DEATH; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; LENGTH OF STAY; MACHINE LEARNING; MORTALITY; MOTIVATION; OUTCOME ASSESSMENT; PRODUCTIVITY; SCORING SYSTEM;

EID: 85063536900     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0000000000003170     Document Type: Article
Times cited : (2)

References (10)
  • 1
    • 85021635595 scopus 로고    scopus 로고
    • Machine learning and prediction in medicine - Beyond the peak of inflated expectations
    • Chen JH, Asch SM: Machine learning and prediction in medicine - beyond the peak of inflated expectations. N Engl J Med 2017;376:2507-2509
    • (2017) N Engl J Med , vol.376 , pp. 2507-2509
    • Chen, J.H.1    Asch, S.M.2
  • 2
    • 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;318:517-518
    • (2017) JAMA , vol.318 , pp. 517-518
    • Cabitza, F.1    Rasoini, R.2    Gensini, G.F.3
  • 3
    • 85061250421 scopus 로고    scopus 로고
    • Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay
    • Weissman GE, Hubbard RA, Ungar LH, et al: Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay. Crit Care Med 2018;46:1125-1132
    • (2018) Crit Care Med , vol.46 , pp. 1125-1132
    • Weissman, G.E.1    Hubbard, R.A.2    Ungar, L.H.3
  • 4
    • 84959373116 scopus 로고    scopus 로고
    • Keeping score of severity scores: Taking the next step
    • Liu V: Keeping score of severity scores: Taking the next step. Crit Care Med 2016;44:639-640
    • (2016) Crit Care Med , vol.44 , pp. 639-640
    • Liu, V.1
  • 5
    • 78149268444 scopus 로고    scopus 로고
    • Clinical review: Scoring systems in the critically ill
    • Vincent JL, Moreno R: Clinical review: Scoring systems in the critically ill. Crit Care 2010;14:207
    • (2010) Crit Care , vol.14 , pp. 207
    • Vincent, J.L.1    Moreno, R.2
  • 6
    • 84992110628 scopus 로고    scopus 로고
    • Which models can i use to predict adult ICU length of stay? A systematic review
    • Verburg IW, Atashi A, Eslami S, et al: Which models can i use to predict adult ICU length of stay? A systematic review. Crit Care Med 2017;45:e222-e231
    • (2017) Crit Care Med , vol.45 , pp. e222-e231
    • Verburg, I.W.1    Atashi, A.2    Eslami, S.3
  • 8
    • 85067530991 scopus 로고    scopus 로고
    • Inclusion of unstructured text data from clinical notes improves early prediction of death or prolonged icu stay among hospitalized patients
    • Weissman GE, Hubbard RA, Ungar LH, et al: Inclusion of unstructured text data from clinical notes improves early prediction of death or prolonged icu stay among hospitalized patients. Am J Respir Crit Care Med 2017;195:A1084
    • (2017) Am J Respir Crit Care Med , vol.195 , pp. A1084
    • Weissman, G.E.1    Hubbard, R.A.2    Ungar, L.H.3
  • 9
    • 84939187754 scopus 로고    scopus 로고
    • Why the C-statistic is not informative to evaluate early warning scores and what metrics to use
    • Romero-Brufau S, Huddleston JM, Escobar GJ, et al: Why the C-statistic is not informative to evaluate early warning scores and what metrics to use. Crit Care 2015;19:285
    • (2015) Crit Care , vol.19 , pp. 285
    • Romero-Brufau, S.1    Huddleston, J.M.2    Escobar, G.J.3
  • 10
    • 33646592518 scopus 로고    scopus 로고
    • Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients
    • Zimmerman JE, Kramer AA, McNair DS, et al: Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today's critically ill patients. Crit Care Med 2006;34:1297-1310
    • (2006) Crit Care Med , vol.34 , pp. 1297-1310
    • Zimmerman, J.E.1    Kramer, A.A.2    McNair, D.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.