Different medical data mining approaches based prediction of ischemic stroke

Computer Methods and Programs in Biomedicine

Volumn 130, Issue , 2016, Pages 87-92

  Arslan, Ahmet Kadir ^a   Colak, Cemil ^a   Sarihan, Mehmet Ediz ^a  

^a INONU UNIVERSITY   (Turkey)

Author keywords

Ischemic stroke; Medical data mining; Penalized logistic regression; Stochastic gradient boosting; Support vector machine

Indexed keywords

MEDICAL COMPUTING; MEDICAL EDUCATION; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS; SUPPORT VECTOR MACHINES;

AREA UNDER ROC CURVE (AUC); ISCHEMIC STROKES; KNOWLEDGE DISCOVERY PROCESS; MEDICAL DATA MINING; MODEL PERFORMANCE EVALUATIONS; PENALIZED LOGISTIC REGRESSION; POSITIVE PREDICTIVE VALUES; STOCHASTIC GRADIENT BOOSTING;

DATA MINING;

ARTICLE; BRAIN ISCHEMIA; CONTROLLED STUDY; DATA MINING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; STOCHASTIC MODEL; SUPPORT VECTOR MACHINE; CEREBROVASCULAR ACCIDENT; PATHOLOGY; TURKEY;

DATA MINING; HUMANS; STROKE; SUPPORT VECTOR MACHINE; TURKEY;

EID: 84962288912     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.03.022     Document Type: Article

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