Data mining in bone marrow transplant records to identify patients with high odds of survival

IEEE Journal of Biomedical and Health Informatics

Volumn 18, Issue 1, 2014, Pages 21-27

  Taati, Babak ^a,b   Snoek, Jasper ^b   Aleman, Dionne ^b   Ghavamzadeh, Ardeshir ^c,d  

^a TORONTO REHABILITATION INSTITUTE   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^d TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Bone marrow transplant; Collaborative filtering; Data mining; Donor matching; Health records; Matrix factorization; Principal component analysis; Recommender systems; Survival

Indexed keywords

BONE; COLLABORATIVE FILTERING; DECISION SUPPORT SYSTEMS; FACTORIZATION; FORECASTING; PRINCIPAL COMPONENT ANALYSIS; RECOMMENDER SYSTEMS; STEM CELLS;

BONE MARROW TRANSPLANT; DONOR MATCHING; HEALTH RECORDS; MATRIX FACTORIZATIONS; SURVIVAL;

DATA MINING;

ADOLESCENT; ADULT; AGED; ARTICLE; BAYES THEOREM; BIOLOGY; BONE MARROW TRANSPLANTATION; CHILD; DATA MINING; FEMALE; GRAFT SURVIVAL; HUMAN; MALE; MEDICAL INFORMATICS; METHODOLOGY; MIDDLE AGED; MORTALITY; PRESCHOOL CHILD; PRINCIPAL COMPONENT ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; RISK FACTOR; STATISTICS; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; BAYES THEOREM; BONE MARROW TRANSPLANTATION; CHILD; CHILD, PRESCHOOL; COMPUTATIONAL BIOLOGY; DATA MINING; FEMALE; GRAFT SURVIVAL; HUMANS; MALE; MEDICAL INFORMATICS; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; RISK FACTORS; ROC CURVE; YOUNG ADULT;

EID: 84892595196     PISSN: 21682194     EISSN: None     Source Type: Journal    
DOI: 10.1109/JBHI.2013.2274733     Document Type: Article

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