Cargando…
Externally validated machine learning algorithm accurately predicts medial tibial stress syndrome in military trainees: a multicohort study
OBJECTIVES: Medial tibial stress syndrome (MTSS) is a common musculoskeletal injury in both sporting and military settings. No reliable treatments exist, and reoccurrence rates are high. Prevention of MTSS is critical to reducing operational burden. Therefore, this study aimed to build a decision-ma...
Autores principales: | Shaw, Angus, Newman, Phil, Witchalls, Jeremy, Hedger, Tristan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367080/ https://www.ncbi.nlm.nih.gov/pubmed/37497020 http://dx.doi.org/10.1136/bmjsem-2023-001566 |
Ejemplares similares
-
Risk factors associated with medial tibial stress syndrome in runners: a systematic review and meta-analysis
por: Newman, Phil, et al.
Publicado: (2013) -
Comparison of optimized machine learning approach to the understanding of medial tibial stress syndrome in male military personnel
por: Sobhani, Vahid, et al.
Publicado: (2023) -
Studying the Relation Between Medial Tibial Stress Syndrome and Anatomic and Anthropometric Characteristics of Military Male Personnel
por: Sobhani, Vahid, et al.
Publicado: (2015) -
Military trainees can accurately measure optic nerve sheath diameter after a brief training session
por: Betcher, Joseph, et al.
Publicado: (2018) -
Multicohort Analysis Identifies Monocyte Gene Signatures to Accurately Monitor Subset-Specific Changes in Human Diseases
por: Vallania, Francesco, et al.
Publicado: (2021)