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Volumn 129, Issue , 2007, Pages 1219-1224
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Predicting coronary artery disease with medical profile and gene polymorphisms data
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Author keywords
Bayesian networks; Coronary artery disease; data mining; machine learning; single nucleotide polymorphisms
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Indexed keywords
BAYESIAN NETWORKS;
COMPUTER AIDED DIAGNOSIS;
COST EFFECTIVENESS;
DATA MINING;
DECISION TREES;
FORECASTING;
LEARNING SYSTEMS;
NEAREST NEIGHBOR SEARCH;
CLASSIFICATION METHODS;
CORONARY ARTERY DISEASE;
COST-EFFECTIVE METHODS;
DEPENDENCY RELATIONSHIP;
GENE POLYMORPHISM;
GENETIC POLYMORPHISMS;
K-NEAREST NEIGHBORS;
SINGLE NUCLEOTIDE POLYMORPHISMS;
DISEASES;
ALGORITHM;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
ARTIFICIAL NEURAL NETWORK;
BAYES THEOREM;
CORONARY ARTERY ATHEROSCLEROSIS;
DECISION TREE;
GENETIC POLYMORPHISM;
GENETICS;
HUMAN;
RISK;
RISK FACTOR;
ALGORITHMS;
ARTIFICIAL INTELLIGENCE;
BAYES THEOREM;
CORONARY ARTERIOSCLEROSIS;
DECISION TREES;
HUMANS;
NEURAL NETWORKS (COMPUTER);
POLYMORPHISM, GENETIC;
RISK;
RISK FACTORS;
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EID: 35748971527
PISSN: 09269630
EISSN: 18798365
Source Type: Book Series
DOI: None Document Type: Conference Paper |
Times cited : (12)
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References (13)
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