A Study on Data-Driven Novel Cancer Staging Methods

摘要：

　　relationship of survival and clinical information of patients.The machine learning models were established to study the survival situation at the time of interest based on survival analysis.The way to determine the time of interest is an innovation of this paper.The distribution of survival time is considered,namely the three quartiles,as well as the traditional analysis experience is taken into consideration.

关键词： Colorectal Neoplasms Machine Learning Survival Analysis

作者: Yuan Gao Yu Tian Shengqiang Chi Yao Lu Xinhang Li Tianshu Zhou Jing-song Li

作者单位: Engineering Research Center of EMR and Intelligent Expert System,Ministry of Education,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases,College of Biomedical Engineering and Instrument Science,Zhejiang University,Hangzhou Zhejiang Province,China

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 1263-1263

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）