Asset Details
Do you wish to reserve the book?
基于C5.0算法的胃癌生存预测模型研究
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
基于C5.0算法的胃癌生存预测模型研究
Do you wish to request the book?
基于C5.0算法的胃癌生存预测模型研究
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
基于C5.0算法的胃癌生存预测模型研究
2017
Overview
The incidence of gastric cancer is very high in China, and the number of new patients diagnosed with gastric cancer accounts for 42% of that of the whole world every year, so gastric cancer has become the focus of the prevention and control of malignant tumors in China. In this paper, the C5. 0 classification algorithm is used to predict the survival rate of gastrc cancer, and experimente are carried out using the SEER database of the American National Cancer Insti tute. The data preprocessing and data integration methods are given according to the unbalanced characteristics of gastric cancer record data. The prediction experimental results show that, the accuracy and specificity of C5. 0 algorithm are high compared with BP-neural network method; and there is an obvious correlation between birth place and surival state of gastric cancer patients. This study is a practical application of data mining technology in the field of medicine, which has certain reference value for the cliniccl diagnosis of gastric can
Publisher
Nanjing University of Information Science & Technology,福州大学经济与管理学院,福州,350116
Subject
