Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk

Computer Methods and Programs in Biomedicine

Volumn 126, Issue , 2016, Pages 128-142

  Fuster Parra, P ^a   Tauler, P ^a   Bennasar Veny, M ^a   Ligeza, A ^b   Lopez Gonzalez A A ^c   Aguilo A ^a  

^a UNIVERSITAT DE LES ILLES BALEARS   (Spain)

^b AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

^c HOSPITAL DE MANACOR   (Spain)

Author keywords

Bayesian networks; Cardiovascular lost years; Cardiovascular risk score; Causal dependency discovery; Metabolic syndrome; Model averaging

Indexed keywords

ARTIFICIAL INTELLIGENCE; KNOWLEDGE BASED SYSTEMS; METABOLISM; RISK ASSESSMENT;

CARDIOVASCULAR LOST YEARS; CARDIOVASCULAR RISK; CAUSAL DEPENDENCIES; METABOLIC SYNDROMES; MODEL AVERAGING;

BAYESIAN NETWORKS;

GLUCOSE; TRIACYLGLYCEROL;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BAYESIAN LEARNING; BAYESIAN NETWORK MODEL; BLOOD PRESSURE; BODY WEIGHT; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; COMPARATIVE STUDY; CONTROLLED STUDY; EPIDEMIOLOGICAL DATA; FEMALE; FRAMINGHAM RISK SCORE; HUMAN; MALE; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; METABOLIC SYNDROME X; MIDDLE AGED; NORMAL HUMAN; PHYSICAL ACTIVITY; PROBABILITY; RISK ASSESSMENT; SCORING SYSTEM; SMOKING; SYSTEM ANALYSIS; BIOLOGICAL MODEL; BODY MASS; CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; RISK FACTOR; STATISTICAL MODEL;

ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BODY MASS INDEX; BODY WEIGHT; CARDIOVASCULAR DISEASES; CARDIOVASCULAR SYSTEM; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; RISK FACTORS; SMOKING;

EID: 84960082158     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2015.12.010     Document Type: Article

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