The application of artificial neural networks and decision tree model in predicting post-operative complication for gastric cancer patients

Hepato-Gastroenterology

Volumn 55, Issue 84, 2008, Pages 1140-1145

  Chien, Ching Wen ^a   Lee, Yi Chih ^b,g   Ma, Tsochiang ^c   Lee, Tian Shyug ^d   Lin, Yang Chu ^e   Wang, Weu ^f   Lee, Wei Jei ^g,h  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b CHING YUN UNIVERSITY   (Taiwan)

^c CHINA MEDICAL UNIVERSITY   (Taiwan)

^d FU JEN CATHOLIC UNIVERSITY   (Taiwan)

^e SOOCHOW UNIVERSITY   (Taiwan)

^f TAIPEI MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^g MIN SHENG GENERAL HOSPITAL   (Taiwan)

^h NONE   (Taiwan)

Author keywords

Artificial neural networks; Decision tree; Gastric cancer; Logistic regression

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DECISION TREE; FEMALE; GASTRECTOMY; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; POSTOPERATIVE COMPLICATION; POSTOPERATIVE PERIOD; PRIORITY JOURNAL; STOMACH CANCER; SURGICAL TECHNIQUE;

AGED; AGED, 80 AND OVER; DECISION TREES; FEMALE; GASTRECTOMY; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; NEOPLASM INVASIVENESS; NEOPLASM STAGING; NEURAL NETWORKS (COMPUTER); POSTOPERATIVE COMPLICATIONS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; STOMACH NEOPLASMS;

EID: 47149105528     PISSN: 01726390     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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