Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer

Volume: 68, Issue: 1, Pages: 148 - 160
Published: Jan 1, 2021
Abstract
Objective: Some excellent prognostic models based on survival analysis methods for breast cancer have been proposed and extensively validated, which provide an essential means for clinical diagnosis and treatment to improve patient survival. To analyze clinical and follow-up data of 12119 breast cancer patients, derived from the Clinical Research Center for Breast (CRCB) in West China Hospital of Sichuan University, we developed a gradient...
Paper Details
Title
Optimizing Survival Analysis of XGBoost for Ties to Predict Disease Progression of Breast Cancer
Published Date
Jan 1, 2021
Volume
68
Issue
1
Pages
148 - 160
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