A Study of Bladder Cancer in Patients with Diabetes

• Main Authors: Yu-An Chen, 陳昱安
• Other Authors: 張俊郎
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/fen57c

碩士 === 國立虎尾科技大學 === 工業管理系工業工程與管理碩士班 === 106 === According to the 2014 statistics of the Ministry of Health and Welfare, bladder cancer is the ninth leading cause of cancer death. Even after treatment, the recurrence rate of bladder cancer is still as high as 70% to ensure complete eradication. Bladder cancer is a common malignant disease in the urinary system. Men are generally more likely to suffer from over the age of 60, while the ratio of men to women is about 2.7: 1. According to related research, cancers that are positively correlated with diabetes include colorectal cancer, liver cancer, bladder cancer, and the like, whereas the mortality of bladder cancer is at a relatively higher risk in diabetic patients. In this study, using the database provided by medical institutions, we explored the relevant documents and screened out relevant important factors. By using cross-entropy algorithm, gene-logic algorithm and particle swarm optimization algorithm, Machine and case-based reasoning techniques, a predictive model and a case-based reasoning assessment system to assess whether diabetes has a risk of bladder cancer, and to give patients or those who need it as a reference for predicting and assessing their risk before they occur Effective control, slow down the occurrence time and reduce the incidence. This study shows that diabetes mellitus is a risk factor for bladder cancer. The top three weights are hypertension, age and urinary tract stones. The higher the risk factor of diabetes-related factors, the higher the risk of bladder cancer. In this study, all of the six prediction models reached 88%, and the AURC was above 0.86. The models were all significantly different by the Fourierist test. Particle swarm optimization algorithm combined with the support vector machine ACC and AURC Preferably 93.018% and 0.9114 respectively. Among the three assessment systems of CBR assessment model, there was no significant difference between PSO and GALR, but all were significantly different from CE. The ACC of the two systems reached more than 93%, and the AURC was above 0.92 . The use of test case validation system can provide medical-related agencies, patients and clinicians as a diagnostic reference to assist diagnosis.