Artificial neural network model for predicting 5-year mortality after surgery for hepatocellular carcinoma and performance comparison with logistic regression model: A nationwide Taiwan database study

Proceedings - 3rd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2012

Volumn , Issue , 2012, Pages 241-245

  Hung, Wan Ting ^a   Lee, King Teh ^a,b   Wang, Shih Chin ^a   Ho, Wen Hsien ^a   Chang, Su Ching ^a   Wang, Jhi Joung ^c   Sun, Ding Ping ^c   Lee, Hao Hsien ^c   Chiu, Chong Chi ^c,d,e   Shi, Hon Yi ^a  

^a KAOHSIUNG MEDICAL UNIVERSITY   (Taiwan)

^b KAOHSIUNG MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^c CHI MEI MEDICAL CENTER   (Taiwan)

^d TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^e CHIA NAN UNIVERSITY OF PHARMACY AND SCIENCE   (Taiwan)

Author keywords

5 year mortality rate; artificial neural network; Hepatocellular carcinoma; logistic regression

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CLINICAL DATA; GLOBAL SENSITIVITY ANALYSIS; HEPATOCELLULAR CARCINOMA; INPUT PARAMETER; LENGTH OF STAY; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; LONGITUDINAL DATA; MORTALITY RATE; OECD COUNTRIES; OUTCOME PREDICTION; PERFORMANCE COMPARISON; PERFORMANCE INDICES; PREDICTION METHODS; PREDICTIVE CAPABILITIES; SYSTEM MODELS;

CHEMOTHERAPY; HOSPITALS; LOGISTICS; NEURAL NETWORKS; OPTIMAL SYSTEMS; REGRESSION ANALYSIS; SURGERY;

FORECASTING;

EID: 84870710112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IBICA.2012.28     Document Type: Conference Paper

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