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Volumn 119, Issue 11, 2013, Pages 2074-2080

A predictive model to identify hospitalized cancer patients at risk for 30-day mortality based on admission criteria via the electronic medical record

Author keywords

Advance Care Planning; Cancer; Electronic Medical Record; Hospitalized; Palliative Care; Prognosis

Indexed keywords

ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BODY TEMPERATURE; CANCER MORTALITY; CANCER PATIENT; COHORT ANALYSIS; CONTROLLED STUDY; DAILY LIFE ACTIVITY; DEMOGRAPHY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; FUNCTIONAL ASSESSMENT; HEART RATE; HOSPITAL PATIENT; HUMAN; LABORATORY TEST; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; OBSERVATIONAL STUDY; OXYGEN THERAPY; PREDICTION; PREDICTIVE MODEL; PREDICTIVE VALUE; PRIORITY JOURNAL; PULSE OXIMETRY; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; SOCIAL SECURITY DEATH INDEX; SYSTOLIC BLOOD PRESSURE; VALIDATION STUDY; VITAL SIGN;

EID: 84878017967     PISSN: 0008543X     EISSN: 10970142     Source Type: Journal    
DOI: 10.1002/cncr.27974     Document Type: Article
Times cited : (27)

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