DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Abstract Background Medical practitioners use survival models to explore and understand the relationships between patients’ covariates (e.g. clinical and genetic features) and the effectiveness of various treatment options. Standard survival models like the linear Cox proportional hazards model requ...

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Bibliographic Details
Main Authors: Jared L. Katzman, Uri Shaham, Alexander Cloninger, Jonathan Bates, Tingting Jiang, Yuval Kluger
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BMC Medical Research Methodology
Subjects:
Deep learning
Survival analysis
Treatment recommendations
Online Access:http://link.springer.com/article/10.1186/s12874-018-0482-1

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http://link.springer.com/article/10.1186/s12874-018-0482-1

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