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Volumn , Issue , 2005, Pages 829-833
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Application of information-theoretic data mining techniques in a national ambulatory practice outcomes research network.
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Author keywords
[No Author keywords available]
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Indexed keywords
ADULT;
AMBULATORY CARE;
ARTICLE;
ARTIFICIAL INTELLIGENCE;
DIABETES MELLITUS;
FACTUAL DATABASE;
FEMALE;
HEALTH CARE QUALITY;
HEART INFARCTION;
HOSPITALIZATION;
HUMAN;
INFORMATION RETRIEVAL;
INSULIN DEPENDENT DIABETES MELLITUS;
MALE;
MEDICAL RECORD;
NON INSULIN DEPENDENT DIABETES MELLITUS;
OUTCOME ASSESSMENT;
RISK FACTOR;
ADULT;
AMBULATORY CARE;
ARTIFICIAL INTELLIGENCE;
DATABASES, FACTUAL;
DIABETES COMPLICATIONS;
DIABETES MELLITUS, TYPE 1;
DIABETES MELLITUS, TYPE 2;
FEMALE;
HUMANS;
INFORMATION STORAGE AND RETRIEVAL;
MALE;
MEDICAL RECORD LINKAGE;
MEDICAL RECORDS SYSTEMS, COMPUTERIZED;
MYOCARDIAL INFARCTION;
OUTCOME ASSESSMENT (HEALTH CARE);
QUALITY OF HEALTH CARE;
RISK FACTORS;
SEVERITY OF ILLNESS INDEX;
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EID: 37849053895
PISSN: None
EISSN: 15594076
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (9)
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References (0)
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