Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery

Abstract Hip fractures among the elderly population continue to present significant risks and high mortality rates despite advancements in surgical procedures. In this study, we developed machine learning (ML) algorithms to estimate 30-day mortality risk post-hip fracture surgery in the elderly usin...

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Bibliographic Details
Main Authors: Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Hip fracture
Pre-operative mortality risk score
Post-operative mortality risk score
AI explainability
Online Access:https://doi.org/10.1038/s41598-025-98713-6
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https://doi.org/10.1038/s41598-025-98713-6

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