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

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Title: Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors.
Authors: Taylor E; Department of Statistics and Data Science, Southern Methodist University, University Park, TX, USA., Shurtz L; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA., Bunt SC; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA., Didehbani N; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA., Cullum CM; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.; Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.; Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA., Wilmoth K; Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA.; Department of Physical Medicine and Rehabilitation, UT Southwestern Medical Center, Dallas, TX, USA.
Source: The Clinical neuropsychologist [Clin Neuropsychol] 2026 Apr; Vol. 40 (3), pp. 979-995. Date of Electronic Publication: 2025 Aug 26.
Publication Type: Journal Article
Journal Info: Publisher: Psychology Press Country of Publication: England NLM ID: 8806548 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1744-4144 (Electronic) Linking ISSN: 13854046 NLM ISO Abbreviation: Clin Neuropsychol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Psychology+Press%22">Psychology Press </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8806548 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1744-4144 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213854046%22">13854046 </searchLink><i>NLM ISO Abbreviation: </i>Clin Neuropsychol <i>Subsets: </i>MEDLINE
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