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A Study on Data-Driven Novel Cancer Staging Methods
Yuan Gao, Yu Tian, Shengqiang Chi, Yao Lu, Xinhang Li, Tianshu Zhou, Jing-song Li
1263
10.3233/978-1-61499-830-3-1263
Studies in Health Technology and Informatics
Volume 245: MEDINFO 2017: Precision Healthcare through Informatics
Abstract

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.

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