1 0 **Author**: **Source**: Unknown - Date unknown **Please cite**: Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file http://lib.stat.cmu.edu/DASL/Datafiles/ICU.html Reference: Authorization: Contact authors Description: The data consist of 200 subjects from a larger study on the survival of patients following admission to an adult intensive care unit (ICU). The study used logistic regression to predict the probability of survival for these patients until their discharge from the hospital. The dependent variable is the binary variable Vital Status (STA). Nineteen possible predictor variables, both discrete and continuous, were also observed. Number of cases: 200 Variable Names: ID: ID number of the patient STA: Vital status (0 = Lived, 1 = Died) AGE: Patient's age in years SEX: Patient's sex (0 = Male, 1 = Female) RACE: Patient's race (1 = White, 2 = Black, 3 = Other) SER: Service at ICU admission (0 = Medical, 1 = Surgical) CAN: Is cancer part of the present problem? (0 = No, 1 = Yes) CRN: History of chronic renal failure (0 = No, 1 = Yes) INF: https://www.openml.org/data/download/53980/ICU.arff LOC ICU 2014-01-06T23:04:00Z ARFF 2014-01-07T01:56:52Z Public public "ID" set target feature 1 active 0 ICU