Data mining techniques for assisting the diagnosis of pressure ulcer development in surgical patients

Journal of Medical Systems

Volumn 36, Issue 4, 2012, Pages 2387-2399

  Su, Chao Ton ^a   Wang, Pa Chun ^b,c   Chen, Yan Cheng ^a   Chen, Li Fei ^d  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^b FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^c CATHAY GENERAL HOSPITAL   (Taiwan)

^d FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

Data mining; Decision tree; Logistic regression; Mahalanobis Taguchi System; Pressure ulcer; Support vector machines

Indexed keywords

ADULT; AGED; ARTICLE; CASE STUDY; DATA MINING; DECISION TREE; DECUBITUS; DISEASE CLASSIFICATION; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAHALANOBIS TAGUCHI SYSTEM; MAJOR CLINICAL STUDY; MALE; NOISE; PROBABILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; SURGICAL PATIENT; COMPUTER ASSISTED DIAGNOSIS; MIDDLE AGED; POSTOPERATIVE CARE; STATISTICAL MODEL; THEORETICAL MODEL;

AGED; DATA MINING; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, THEORETICAL; POSTOPERATIVE CARE; PRESSURE ULCER; SUPPORT VECTOR MACHINES;

EID: 84873030660     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9706-1     Document Type: Article

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