Predicting survival time for kidney dialysis patients: A data mining approach

Computers in Biology and Medicine

Volumn 35, Issue 4, 2005, Pages 311-327

  Kusiak, Andrew ^a   Dixon, Bradley ^b   Shah, Shital ^a  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF IOWA HOSPITALS AND CLINICS   (United States)

Author keywords

Data mining; Data preprocessing; Data transformations; Decision making; Dialysis protocol; Hemodialysis; Medical relevance; Survival

Indexed keywords

COMPUTATIONAL METHODS; COST EFFECTIVENESS; DATA PROCESSING; DISEASE CONTROL; PARAMETER ESTIMATION; PATIENT MONITORING;

CLINICAL PARAMETERS; DATA PREPROCESSING; KIDNEY DIALYSIS PATIENTS;

DIALYSIS;

ALGORITHM; ARTICLE; HEMODIALYSIS; INFORMATION PROCESSING; PREDICTION; PRIORITY JOURNAL; SURVIVAL TIME;

ALGORITHMS; BLOOD PRESSURE; BODY WEIGHT; CALCIUM; COMPUTATIONAL BIOLOGY; HEART RATE; HUMANS; KIDNEY FAILURE, CHRONIC; POTASSIUM; RENAL DIALYSIS; SODIUM; SURVIVAL ANALYSIS; TIME FACTORS; UREA;

EID: 14644405021     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2004.02.004     Document Type: Article

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