Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality

Journal of Biomedical Informatics

Volumn 40, Issue 6, 2007, Pages 688-697

  Matheny, Michael E ^a,b   Resnic, Frederic S ^a,b   Arora, Nipun ^a   Ohno Machado, Lucila ^a,b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

Author keywords

Evolutionary computing; Genetic algorithms; Logistic regression; Machine learning; Percutaneous coronary intervention; Support vector machines

Indexed keywords

BIOMEDICAL ENGINEERING; GENETIC ALGORITHMS; MEDICAL APPLICATIONS; OPTIMIZATION; SENSITIVITY ANALYSIS;

EVOLUTIONARY COMPUTING; LOGISTIC REGRESSION; PERCUTANEOUS CORONARY INTERVENTION;

SUPPORT VECTOR MACHINES;

ARTICLE; CALIBRATION; CHI SQUARE TEST; CONTROLLED STUDY; FEMALE; GENETIC ALGORITHM; HUMAN; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; MAJOR CLINICAL STUDY; MORTALITY; PERCUTANEOUS CORONARY INTERVENTION; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

ANGIOPLASTY, TRANSLUMINAL, PERCUTANEOUS CORONARY; ARTIFICIAL INTELLIGENCE; BOSTON; CALIBRATION; DISCRIMINANT ANALYSIS; HUMANS; INCIDENCE; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 36048958298     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2007.05.008     Document Type: Article

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