Prediction of Survival Rate in Patients with Colorectal Cancer by an Artificial Neural Network Model

• Main Authors: Tsz-Ho Leung, 梁子豪
• Other Authors: Liu Li
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/36258566842856169391

碩士 === 臺北醫學大學 === 醫學資訊研究所 === 96 === Cancer death proceeded to the leading cause of death since 1982 and the trend of both mortality rate and prevalence are increasing as time. Colorectal cancer is not only has an increasing mortality rate but also be the third leading cause of cancer death recently. The percentage of people in a study or treatment group who are alive for a certain period of time after they were diagnosed with or treated for a disease, such as cancer. The survival rate is often stated as a five-year survival rate, which is the percentage of people in a study or treatment group who are alive five years after diagnosis or treatment. But it is only a number of percentage of people survived not the probability of survival of an individual. Clinically, it is very difficult to predict the survival rate of an individual with cancer because there are many influencing factors and the factors are interacting to each other. In this study, I try to establish an artificial neural network model to predict the survival rate of an individual with colorectal cancer based on a cancer registry database.