Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot-Reference-Cited by-同舟云学术

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Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot

Published:2024-05-09 Issue:11 Volume:38 Page:880-888
ISSN:0269-9052
Container-title:Brain Injury
language:en
Short-container-title:Brain Injury

Author:

Waltzman Dana¹^ORCID,Daugherty Jill¹,Peterson Alexis¹,Lumba-Brown Angela²

Affiliation:

1. Centers for Disease Control and Prevention (CDC), National Center for Injury Prevention and Control (NCIPC), Division of Injury Prevention, Atlanta, Georgia, USA

2. Department of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA

Funder

no funding associated

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/02699052.2024.2352524

Reference43 articles.

1. ASSESSMENT OF COMA AND IMPAIRED CONSCIOUSNESS

2. Centers for Disease Control and Prevention. Symptoms of mild TBI and concussion Atlanta GA 2021; [Accessed 2021 October 25]. https://www.cdc.gov/traumaticbraininjury/concussion/symptoms.html.

3. Symptom profile of affirmative responses to a self-report concussion question, United States 2019

4. Missed diagnosis of traumatic brain injury in patients with traumatic spinal cord injury

5. Definition of mild traumatic brain injury

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