Applying Fuzzy Analytic Network Process to Develop Patients Risk Index after Liver Transplant Surgery

• Main Authors: Chou, Chun-Ting, 周俊廷
• Other Authors: Hsu, Shang-Hwa
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/898568

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.