Application of machine learning algorithms for clinical predictive modeling: A data-mining approach in SCT

Bone Marrow Transplantation

Volumn 49, Issue 3, 2014, Pages 332-337

  Shouval, R ^a   Bondi, O ^b   Mishan, H ^b   Shimoni, A ^a   Unger, R ^b   Nagler, A ^a  

^a SHEBA MEDICAL CENTER   (Israel)

^b BAR ILAN UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; ALGORITHM; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; CLINICAL DECISION MAKING; CLINICAL RESEARCH; CONCEPT ANALYSIS; DATA ANALYSIS; DATA BASE; DATA MINING; DIAGNOSTIC ACCURACY; HEMATOLOGIST; HEMATOPOIETIC STEM CELL TRANSPLANTATION; INFORMATION PROCESSING; MACHINE LEARNING; MORTALITY; NONLINEAR SYSTEM; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; REGISTRATION; RETROSPECTIVE STUDY; REVIEW; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL MODEL; SUPPORT VECTOR MACHINE; TREATMENT OUTCOME; BIOLOGY; DECISION TREE; HEMATOLOGY; HUMAN; PROCEDURES; REPRODUCIBILITY; STEM CELL TRANSPLANTATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL BIOLOGY; DATA MINING; DECISION TREES; HEMATOLOGY; HEMATOPOIETIC STEM CELL TRANSPLANTATION; HUMANS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; STEM CELL TRANSPLANTATION; SUPPORT VECTOR MACHINE;

EID: 84904242833     PISSN: 02683369     EISSN: 14765365     Source Type: Journal    
DOI: 10.1038/bmt.2013.146     Document Type: Review

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