Performance comparison between logistic regression, decision trees, and multilayer perceptron in predicting peripheral neuropathy in type 2 diabetes mellitus

Chinese Medical Journal

Volumn 125, Issue 5, 2012, Pages 851-857

  Li, Chang Ping ^a   Zhi, Xin Yue ^a   Ma, Jun ^a   Cui, Zhuang ^a   Zhu, Zi Long ^b   Zhang, Cui ^c   Hu, Liang Ping ^d  

^a TIANJIN MEDICAL UNIVERSITY   (China)

^b TIANJIN HUANHU HOSPITAL   (China)

^c NANKAI UNIVERSITY   (China)

^d BEIJING INSTITUTE OF MICROBIOLOGY AND EPIDEMIOLOGY   (China)

Author keywords

Decision tree; Diabetic peripheral neuropathy; Logistic regression; Multilayer perceptron

Indexed keywords

ACCURACY; ARTICLE; CONTROLLED STUDY; DECISION TREE; DIABETIC NEUROPATHY; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; NON INSULIN DEPENDENT DIABETES MELLITUS; PERCEPTRON; PREDICTION; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; VALIDATION PROCESS;

CASE-CONTROL STUDIES; DECISION TREES; DIABETES MELLITUS, TYPE 2; DIABETIC NEUROPATHIES; HUMANS; LOGISTIC MODELS;

EID: 84863366528     PISSN: 03666999     EISSN: None     Source Type: Journal    
DOI: 10.3760/cma.j.issn.0366-6999.2012.05.022     Document Type: Article

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