Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach

Authors

Vijay Sawlani (ORCID: https://orcid.org/0000-0001-6779-1255)
David Davies (ORCID: https://orcid.org/0000-0003-0767-764X)
Elliot Yates (ORCID: https://orcid.org/0009-0006-4485-4245)
Antonio Belli (ORCID: https://orcid.org/0000-0002-3211-9933)
Louise C. Yates
Kamal Makram Yakoub
Yi‐Ping Lu (ORCID: https://orcid.org/0000-0002-0684-8286)
Xuanxuan Li (ORCID: https://orcid.org/0000-0002-2171-2969)

Institutions

University Hospitals Birmingham NHS Foundation Trust (GB)
Worcestershire Acute Hospitals NHS Trust (GB)
NIHR Surgical Reconstruction and Microbiology Research Centre (GB)
Huashan Hospital (CN)
University of Birmingham (GB)

Publication Details

Journal: BMJ Open Sport & Exercise Medicine
Published: 2025-01-01
DOI: https://doi.org/10.1136/bmjsem-2024-002090
Citations: 3
Primary Topic: Traumatic Brain Injury Research
Type: article
Field-Weighted Citation Impact: 4.06

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article

Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach

Vijay Sawlani, David Davies, Elliot Yates, Antonio Belli et al.

Jan 1, 2025

3 citations

BMJ Open Sport & Exercise Medicine

Traumatic Brain Injury Research

4.06

article

Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach

Vijay Sawlani, David Davies, Elliot Yates, Antonio Belli, Louise C. Yates, Kamal Makram Yakoub, Yi‐Ping Lu, Xuanxuan Li

January 1, 2025article en

3 citations

Abstract

No abstract available for this paper.

BMJ Open Sport & Exercise MedicineVol. 11(1)

University Hospitals Birmingham NHS Foundation Trust (GB), Worcestershire Acute Hospitals NHS Trust (GB), NIHR Surgical Reconstruction and Microbiology Research Centre (GB), Huashan Hospital (CN), University of Birmingham (GB)

Peace, Justice and strong institutions

Openalex Percentile: Top 7%

Traumatic Brain Injury Research

4.06

DOI Open Access PDF OpenAlex

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