Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery
碩士 === 國立交通大學 === 工業工程與管理系所 === 103 === Liver echo is the most effective way to measure the patient’s liver function especially after the liver transplant surgery. Even though liver echo is the direct measurement, but because of the constraints of the equipment, patients need to transfer to the exam...
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ndltd-TW-103NCTU50310362019-05-15T21:50:56Z http://ndltd.ncl.edu.tw/handle/898568 Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery 應用模糊網絡層級分析法於發展肝臟移植手術術後病患風險指標 Chou, Chun-Ting 周俊廷 碩士 國立交通大學 工業工程與管理系所 103 Liver echo is the most effective way to measure the patient’s liver function especially after the liver transplant surgery. Even though liver echo is the direct measurement, but because of the constraints of the equipment, patients need to transfer to the examination room to do the liver echo, which increase more risk in patients’ safety, and also the difference in physician’s experience will affect the results. So this study provides another way to measure the liver function by using the regular examining parameters. There are many regular examining parameters to evaluate the patient’s liver function, but they are scattered around in different examination sheets. This study uses the concept of Fuzzy Theory and Analytic Network Process to figure out the importance and relations among these parameters based on the physicians’ experiences. Therefore, we can generate an ideal risk index which can express the state of the liver function. Then we verify the accuracy of this risk index by comparing it to the liver echo result. Hsu, Shang-Hwa 許尚華 2014 學位論文 ; thesis 66 zh-TW |
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碩士 === 國立交通大學 === 工業工程與管理系所 === 103 === Liver echo is the most effective way to measure the patient’s liver function especially after the liver transplant surgery. Even though liver echo is the direct measurement, but because of the constraints of the equipment, patients need to transfer to the examination room to do the liver echo, which increase more risk in patients’ safety, and also the difference in physician’s experience will affect the results. So this study provides another way to measure the liver function by using the regular examining parameters.
There are many regular examining parameters to evaluate the patient’s liver function, but they are scattered around in different examination sheets. This study uses the concept of Fuzzy Theory and Analytic Network Process to figure out the importance and relations among these parameters based on the physicians’ experiences. Therefore, we can generate an ideal risk index which can express the state of the liver function. Then we verify the accuracy of this risk index by comparing it to the liver echo result.
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author2 |
Hsu, Shang-Hwa |
author_facet |
Hsu, Shang-Hwa Chou, Chun-Ting 周俊廷 |
author |
Chou, Chun-Ting 周俊廷 |
spellingShingle |
Chou, Chun-Ting 周俊廷 Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
author_sort |
Chou, Chun-Ting |
title |
Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
title_short |
Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
title_full |
Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
title_fullStr |
Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
title_full_unstemmed |
Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery |
title_sort |
applying fuzzy analytic network process to develop patients risk index after liver transplant surgery |
publishDate |
2014 |
url |
http://ndltd.ncl.edu.tw/handle/898568 |
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