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

Sobhani, Vahid; Asgari, Alireza; Arabfard, Masoud; Ebrahimpour, Zeynab; Shakibaee, Abolfazl

Sobhani, Vahid; Asgari, Alireza; Arabfard, Masoud; Ebrahimpour, Zeynab; Shakibaee, Abolfazl.

Afiliação

Sobhani V; Exercise Physiology Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Asgari A; Exercise Physiology Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Arabfard M; Chemical Injuries Research Center, Systems Biology and Poisoning Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Ebrahimpour Z; Department of Physical Education and Sport Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran.
Shakibaee A; Exercise Physiology Research Center, Lifestyle Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran. shakibaeeabolfazl2@gmail.com.

BMC Res Notes ; 16(1): 126, 2023 Jun 29.

Article em En | MEDLINE | ID: mdl-37386606

Assuntos

Síndrome do Estresse Tibial Medial; Militares; Masculino; Humanos; Teorema de Bayes; Estudos Transversais; Aprendizado de Máquina

Palavras-chave

Anthropometric predictors; Bayesian optimization; Injury risk; Predictive methods

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Síndrome do Estresse Tibial Medial / Militares Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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