Comparison of optimized machine learning approach to the understanding of medial tibial stress syndrome in male military personnel

Comparison of optimized machine learning approach to the understanding of medial tibial stress syndrome in male military personnel

Abstract Purpose This study investigates the applicability of optimized machine learning (ML) approach for the prediction of Medial tibial stress syndrome (MTSS) using anatomic and anthropometric predictors. Method To this end, 180 recruits were enrolled in a cross-sectional study of 30 MTSS (30.36 ...

Full description

Bibliographic Details
Main Authors: Vahid Sobhani, Alireza Asgari, Masoud Arabfard, Zeynab Ebrahimpour, Abolfazl Shakibaee
Format: Article
Language:English
Published: BMC 2023-06-01
Series:BMC Research Notes
Subjects:
Bayesian optimization
Anthropometric predictors
Injury risk
Predictive methods
Online Access:https://doi.org/10.1186/s13104-023-06404-0

Internet

https://doi.org/10.1186/s13104-023-06404-0

Similar Items