Kuo R.J.Cheng W.C.WAN-CHING LIENYang T.J.2020-12-282020-12-2820150169-2607https://scholars.lib.ntu.edu.tw/handle/123456789/533806Taiwan is an area where chronic hepatitis is endemic. Liver cancer is so common that it has been ranked first among cancer mortality rates since the early 1980s in Taiwan. Besides, liver cirrhosis and chronic liver diseases are the sixth or seventh in the causes of death. Therefore, as shown by the active research on hepatitis, it is not only a health threat, but also a huge medical cost for the government. The estimated total number of hepatitis B carriers in the general population aged more than 20 years old is 3,067,307. Thus, a case record review was conducted from all patients with diagnosis of acute hepatitis admitted to the Emergency Department (ED) of a well-known teaching-oriented hospital in Taipei. The cost of medical resource utilization is defined as the total medical fee. In this study, a fuzzy neural network is employed to develop the cost forecasting model. A total of 110 patients met the inclusion criteria. The computational results indicate that the FNN model can provide more accurate forecasts than the support vector regression (SVR) or artificial neural network (ANN). In addition, unlike SVR and ANN, FNN can also provide fuzzy IF-THEN rules for interpretation. ? 2015 Elsevier Ireland Ltd.[SDGs]SDG3Cost estimating; Costs; Diagnosis; Diseases; Emergency rooms; Fuzzy inference; Fuzzy neural networks; Health risks; Hospitals; Neural networks; Acute hepatitis; Chronic liver disease; Computational results; Cost-forecasting model; Emergency departments; Resource estimation; Resource utilizations; Support vector regression (SVR); Fuzzy logic; bilirubin; prothrombin; acute hepatitis; adult; aged; Article; artificial neural network; Child Pugh score; chronic hepatitis; data mining; emergency care; emergency ward; female; forecasting; fuzzy system; health care cost; health care utilization; hepatitis B; human; liver cirrhosis; major clinical study; male; medical fee; medical record review; splenomegaly; support vector machine; Taiwan; acute disease; economics; emergency health service; fuzzy logic; Hepatitis, Viral, Human; theoretical model; Acute Disease; Emergency Service, Hospital; Fuzzy Logic; Health Care Costs; Hepatitis, Viral, Human; Humans; Models, Theoretical; Taiwanjournal article10.1016/j.cmpb.2015.06.006261536432-s2.0-84939566457