Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

Application of machine learning in predicting survival outcomes involving real-world data: a scoping review

Abstract Background Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored. ML models are capable of algorithmically learning from large, comp...

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Bibliographic Details
Main Authors: Yinan Huang, Jieni Li, Mai Li, Rajender R. Aparasu
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Medical Research Methodology
Subjects:
Machine learning
Real-world datasets
Random survival forest
Neural network
Online Access:https://doi.org/10.1186/s12874-023-02078-1

Internet

https://doi.org/10.1186/s12874-023-02078-1

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