| Summary: | 碩士 === 國立虎尾科技大學 === 工業工程與管理研究所 === 100 === The national healthcare insurance was initially intended for providing the people equal access to medical treatment and enhancing the health quality of the commonwealth. Improper disbursement of the national healthcare insurance has already resulted in excessively waste of medical resource and deteriorated the financial revenue. The increasingly soaring national healthcare expenses synchronize with unnecessary medical resource waste. The medical resource utilization would be an important index of evaluation.
The gastric cancer is one of the most frequently-incident malicious tumors and ranks the top 4 among all the digestive-organ cancer, next to only the liver cancer, colorectal cancer and oral cancer. The domestic and foreign medical research indicate that the hospitalization duration varies directly with the medical expenses. It become an important issue as how to effectively evaluate the length of stay and medical expenditure.
This study investigates the factors related to gastric cancer surgery, by reference to the medical literature and consult with physician, screening the relevant impact variables of Gastric cancer patients in the health care database for research, The decision tree, artificial neural network, support vector machine, particle swarm optimization and case-based reasoning have been applied in this research to evaluate the length of stay and medical expenditure. It is expected that the results could provide the relevant medical staff as a basis for reference. The results show that the terms of length of stay, the decision tree combined with support vector machine offers better performance in accuracy and areas under the ROC, which is 81.48% and 0.54 respectively, for the medical expenditure, the system accuracy is 83.33%. In this study, the database system was applied and the user interface was designed to provide the physician an assistant tool for clinical evalution. It is expected that the results could reduce the unnecessary waste of resources and enhance the quality and efficiency of medical services.
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