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Volumn 29, Issue 1, 2001, Pages 45-50

Daily assessment of severity of illness and mortality prediction for individual patients

Author keywords

Critical illness; Daily assessment; Hospital mortality; Intensive care; Logistic regression models; Mortality prediction; Mortality Probability Models II system; Probability models; Prognosis; Severity of illness index

Indexed keywords

ADULT; AGED; ARTICLE; CRITICAL ILLNESS; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; DYING; FEMALE; HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; MEDICAL ASSESSMENT; MORTALITY; PRIORITY JOURNAL; PROGNOSIS; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; STATISTICAL ANALYSIS;

EID: 0035142910     PISSN: 00903493     EISSN: None     Source Type: Journal    
DOI: 10.1097/00003246-200101000-00012     Document Type: Article
Times cited : (19)

References (23)
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    • Performance of the Mortality Probability Models (MPM II) in assessing severity of illness during the first week in the intensive care unit
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  • 11
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    • Assessing the fit of the model
    • Applied Logistic Regression. Hosmer DW, Lemeshow S (Eds). New York, John Wiley & Sons
    • (1989) , pp. 135-175
    • Hosmer, D.W.1    Lemeshow, S.2
  • 20
    • 0031933618 scopus 로고    scopus 로고
    • Severity-of-illness scores for neutropenic cancer patients in an intensive care unit: Which is the best predictor? Do multiple assessment times improve the predictive value?
    • (1998) Crit Care Med , vol.26 , pp. 488-493
    • Guiguet, M.1    Blot, F.2    Escudier, B.3
  • 22
  • 23
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    • Use of daily Acute Physiology and Chronic Health Evaluation (APACHE) II scores to predict individual patient survival rate
    • (1994) Crit Care Med , vol.22 , pp. 1402-1405
    • Rogers, J.1    Fuller, H.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.