A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer

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 exce...

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Main Authors: Chien-Sung Wang, 王建菘
Other Authors: Chun-Lang Chang
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/9c78fd
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spelling ndltd-TW-100NYPI50310612019-09-22T03:40:59Z http://ndltd.ncl.edu.tw/handle/9c78fd A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer 胃癌手術之住院日與醫療費用評估研究 Chien-Sung Wang 王建菘 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. Chun-Lang Chang 張俊郎 2012 學位論文 ; thesis 117 zh-TW
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description 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.
author2 Chun-Lang Chang
author_facet Chun-Lang Chang
Chien-Sung Wang
王建菘
author Chien-Sung Wang
王建菘
spellingShingle Chien-Sung Wang
王建菘
A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
author_sort Chien-Sung Wang
title A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
title_short A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
title_full A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
title_fullStr A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
title_full_unstemmed A Study on Length of Stay and Expenditure on Surgeryof Gastric Cancer
title_sort study on length of stay and expenditure on surgeryof gastric cancer
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/9c78fd
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