An interpretable rule-based diagnostic classification of diabetic nephropathy among type 2 diabetes patients

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Huang, Guan Mau ^a   Huang, Kai Yao ^a   Lee, Tzong Yi ^a   Weng, Julia Tzu Ya ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; DIAGNOSIS;

CLASSIFICATION RESULTS; CLINICAL FEATURES; CLINICAL SETTINGS; CONTRIBUTING FACTOR; DIABETIC NEPHROPATHY; DIABETIC PATIENT; EFFICIENT TREATMENT; INTERPRETABLE RULES;

DISEASES;

BAYES THEOREM; BIOLOGY; CLASSIFICATION; COMPLICATION; DECISION TREE; DIABETIC NEPHROPATHIES; DISEASE PREDISPOSITION; FEMALE; GENETICS; GENOTYPE; HUMAN; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PROCEDURES; RISK ASSESSMENT; SEX DIFFERENCE; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

BAYES THEOREM; COMPUTATIONAL BIOLOGY; DECISION TREES; DIABETES MELLITUS, TYPE 2; DIABETIC NEPHROPATHIES; DISEASE SUSCEPTIBILITY; FEMALE; GENOTYPE; HUMANS; MALE; MODELS, STATISTICAL; RISK ASSESSMENT; SEX FACTORS; SUPPORT VECTOR MACHINE;

EID: 84923920496     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-16-S1-S5     Document Type: Article

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