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Volumn , Issue , 2003, Pages 834-
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Using rough sets, neural networks, and logistic regression to predict compliance with cholesterol guidelines goals in patients with coronary artery disease.
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Author keywords
[No Author keywords available]
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Indexed keywords
CHOLESTEROL;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
BLOOD;
CORONARY ARTERY DISEASE;
HEALTH EDUCATION;
HUMAN;
PATIENT COMPLIANCE;
PRACTICE GUIDELINE;
STATISTICAL MODEL;
CHOLESTEROL;
CORONARY DISEASE;
HEALTH EDUCATION;
HUMANS;
LOGISTIC MODELS;
MODELS, STATISTICAL;
NEURAL NETWORKS (COMPUTER);
PATIENT COMPLIANCE;
PRACTICE GUIDELINES;
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EID: 16544381876
PISSN: None
EISSN: 15594076
Source Type: Journal
DOI: None Document Type: Article |
Times cited : (5)
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References (0)
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