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Volumn 11, Issue 3, 2016, Pages

Prediction of Hematopoietic Stem Cell Transplantation Related Mortality- Lessons Learned from the In-Silico Approach: A European Society for Blood and Marrow Transplantation Acute Leukemia Working Party Data Mining Study

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE LEUKEMIA; ADULT; ALGORITHM; ARTICLE; CANCER STAGING; COMPUTER MODEL; COMPUTER PREDICTION; DATA MINING; FEMALE; HEMATOPOIETIC STEM CELL; HEMATOPOIETIC STEM CELL TRANSPLANTATION; HUMAN; IMMUNOSUPPRESSIVE TREATMENT; LEUKEMIA REMISSION; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MORTALITY; PERIPHERAL BLOOD STEM CELL; PREDICTION; PREVALENCE; RECEIVER OPERATING CHARACTERISTIC; REDUCED INTENSITY CONDITIONING; SAMPLE SIZE; T CELL DEPLETION; TRANSPLANTATION RELATED MORTALITY; UNRELATED DONORS; ADVERSE EFFECTS; ALLOTRANSPLANTATION; AREA UNDER THE CURVE; COMPUTER SIMULATION; EUROPE; INFORMATION PROCESSING; LEUKEMIA, MYELOID, ACUTE; MEDICAL SOCIETY; MIDDLE AGED; PRECURSOR CELL LYMPHOBLASTIC LEUKEMIA-LYMPHOMA; PREDICTIVE VALUE; RECURRENT DISEASE; REMISSION; RETROSPECTIVE STUDY; TRANSPLANTATION CONDITIONING;

EID: 84961285352     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0150637     Document Type: Article
Times cited : (33)

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