Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors

Post-injury depressive symptoms, anxiety, and sleep had a stronger influence in predicting prolonged recovery time than previously identified injury-related variables (e.g. loss of consciousness, headache). While promising, ML may not outperform traditional models depending on the simplicity and linearity of the predictor variables.

Authors

Kristin Wilmoth (ORCID: https://orcid.org/0000-0003-4192-8756)
Ellen Taylor (ORCID: https://orcid.org/0000-0003-3317-7729)
Nyaz Didehbani (ORCID: https://orcid.org/0000-0001-6121-5759)
Stephen C. Bunt (ORCID: https://orcid.org/0000-0002-3631-4648)
Logan Shurtz

Institutions

Southern Methodist University (US)
Southwestern Medical Center (US)
Neurological Surgery (US)
Southwestern Medical Center (US)
The University of Texas Southwestern Medical Center (US)

Publication Details

Journal: The Clinical Neuropsychologist
Published: 2025-08-26
DOI: https://doi.org/10.1080/13854046.2025.2547933
Primary Topic: Traumatic Brain Injury Research
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors

Kristin Wilmoth, Ellen Taylor, Nyaz Didehbani, Stephen C. Bunt et al.

Aug 26, 2025

The Clinical Neuropsychologist

Traumatic Brain Injury Research

article

Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors

Kristin Wilmoth, Ellen Taylor, Nyaz Didehbani, Stephen C. Bunt, Logan Shurtz

August 26, 2025article en

Abstract

Post-injury depressive symptoms, anxiety, and sleep had a stronger influence in predicting prolonged recovery time than previously identified injury-related variables (e.g. loss of consciousness, headache). While promising, ML may not outperform traditional models depending on the simplicity and linearity of the predictor variables.

The Clinical Neuropsychologist

Southern Methodist University (US), Southwestern Medical Center (US), Neurological Surgery (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)

Openalex Percentile: Top 69%

Traumatic Brain Injury Research

DOI Source OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors — Kristin Wilmoth, Ellen Taylor, et al. · The Clinical Neuropsychologist (2025) | TGRS Research Map | TGRS