A machine learning framework to classify musculoskeletal injury risk groups in military service members

A machine learning framework to classify musculoskeletal injury risk groups in military service members

BackgroundMusculoskeletal injuries (MSKIs) are endemic in military populations. Thus, it is essential to identify and mitigate MSKI risks. Time-to-event machine learning models utilizing self-reported questionnaires or existing data (e.g., electronic health records) may aid in creating efficient ris...

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Bibliographic Details
Main Authors: Matthew B. Bird, Megan H. Roach, Roberts G. Nelson, Matthew S. Helton, Timothy C. Mauntel
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-06-01
Series:Frontiers in Artificial Intelligence
Subjects:
survival
Cox proportional hazard regression
decision trees
screening
secondary data
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1420210/full

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https://www.frontiersin.org/articles/10.3389/frai.2024.1420210/full

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