Long term cardiovascular risk models' combination

Computer Methods and Programs in Biomedicine

Volumn 101, Issue 3, 2011, Pages 231-242

  Paredes, S ^a   Rocha, T ^a   de Carvalho, P ^b   Henriques, J ^b   Harris, M ^c   Morais, J ^d  

^a POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

^c PHILIPS RESEARCH LABORATORIES   (Germany)

^d Hospital de Santo Andre   (Portugal)

Author keywords

Bayesian networks; Management of cardiovascular diseases; Modeling

Indexed keywords

BAYES CLASSIFIER; CARDIO-VASCULAR DISEASE; CARDIOVASCULAR RISK; CONDITIONAL PROBABILITIES; ECONOMIC COSTS; INDIVIDUAL MODELS; KEY FACTORS; LONG TERM; MODELING; PROBABILISTIC REASONING; RISK ASSESSMENT TOOL; RISK FACTORS; SECOND PHASE; TWO PHASE; VALIDATION RESULTS;

CLASSIFIERS; DIAGNOSIS; DISEASES; DISTRIBUTED PARAMETER NETWORKS; FREQUENCY ESTIMATION; INFERENCE ENGINES; INTELLIGENT NETWORKS; KNOWLEDGE BASED SYSTEMS; NETWORK MANAGEMENT; PROBABILISTIC LOGICS; RATING; RISK ASSESSMENT; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

ADULT; AGED; ARTICLE; BAYESIAN LEARNING; CARDIOVASCULAR RISK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; FREQUENCY ANALYSIS; GENETIC ALGORITHM; HUMAN; LEARNING ALGORITHM; MALE; PROBABILITY; PROCESS OPTIMIZATION; RISK ASSESSMENT; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

BAYES THEOREM; CARDIOVASCULAR DISEASES; HUMANS; MODELS, CARDIOVASCULAR; RISK ASSESSMENT; RISK FACTORS;

EID: 79952039682     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2010.12.015     Document Type: Article

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