A Study on Data-Driven Novel Cancer Staging Methods

被引：0
|
作者：
Gao, Yuan [1 ]
Tian, Yu [1 ]
Chi, Shengqiang [1 ]
Lu, Yao [1 ]
Li, Xinhang [1 ]
Zhou, Tianshu [1 ]
Li, Jing-song [1 ]
机构：
[1] Zhejiang Univ, Engn Res Ctr EMR & Intelligent Expert Syst, Collaborat Innovat Ctr Diag & Treatment Infect Di, Minist Educ,Coll Biomed Engn & Instrument Sci, Hangzhou, Zhejiang, Peoples R China
来源：
MEDINFO 2017: PRECISION HEALTHCARE THROUGH INFORMATICS | 2017年 / 245卷
关键词：
Colorectal Neoplasms; Machine Learning; Survival Analysis;
D O I：
10.3233/978-1-61499-830-3-1263
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
This paper presents a data-driven method to study the 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.
引用
收藏
页码：1263 / 1263
页数：1
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