title: Mortality predicted accuracy for hepatocellular carcinoma patients with hepatic resection using artificial neural network.
abstract: The aim of this present study is firstly to compare significant predictors of mortality for hepatocellular carcinoma (HCC) patients undergoing resection between artificial neural network (ANN) and logistic regression (LR) models and secondly to evaluate the predictive accuracy of ANN and LR in different survival year estimation models. We constructed a prognostic model for 434 patients with 21 potential input variables by Cox regression model. Model performance was measured by numbers of significant predictors and predictive accuracy. The results indicated that ANN had double to triple numbers of significant predictors at 1-, 3-, and 5-year survival models as compared with LR models. Scores of accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of 1-, 3-, and 5-year survival estimation models using ANN were superior to those of LR in all the training sets and most of the validation sets. The study demonstrated that ANN not only had a great number of predictors of mortality variables but also provided accurate prediction, as compared with conventional methods. It is suggested that physicians consider using data mining methods as supplemental tools for clinical decision-making and prognostic evaluation.
authors.affiliation: Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
authors.forename: Herng-Chia
authors.initials: HC
authors.lastname: Chiu
authors.forename: Te-Wei
authors.initials: TW
authors.lastname: Ho
authors.forename: King-Teh
authors.initials: KT
authors.lastname: Lee
authors.forename: Hong-Yaw
authors.initials: HY
authors.lastname: Chen
authors.forename: Wen-Hsien
authors.initials: WH
authors.lastname: Ho
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D006528:Carcinoma, Hepatocellular / Q000401:mortality* / Q000601:surgery*; D005260:Female; D006498:Hepatectomy / Q000401:mortality* / Q000706:statistics & numerical data; D006801:Humans; D008113:Liver Neoplasms / Q000401:mortality* / Q000601:surgery*; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D015995:Prevalence; D011379:Prognosis; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D016019:Survival Analysis; D015996:Survival Rate; D013624:Taiwan / Q000453:epidemiology; D016896:Treatment Outcome