An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records

An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records

Abstract Background Identifying key variables is essential for developing clinical outcome prediction models based on high-dimensional electronic medical records (EMR). However, despite the abundance of feature selection (FS) methods available, challenges remain in choosing the most appropriate meth...

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Bibliographic Details
Main Authors: Hongnian Wang, Mingyang Zhang, Liyi Mai, Xin Li, Abdelouahab Bellou, Lijuan Wu
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electronic medical records
Feature selection
Machine learning
Clinical outcomes
Risk prediction
Interpretability
Online Access:https://doi.org/10.1186/s12911-025-02922-y
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https://doi.org/10.1186/s12911-025-02922-y

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