Using machine learning to predict concussion recovery time: The importance of psychological and symptomatic factors.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1744-4144 |
|---|---|
| DOI: | 10.1080/13854046.2025.2547933 |
