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

Brain injury - 18 Sept 2024

Waltzman Dana, Daugherty Jill, Peterson Alexis, Lumba-Brown Angela

Abstract excerpt

OBJECTIVE: The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical profiles. METHODS: Pilot self-reported survey data of over 10,000 adults were collected from the Centers for Disease Control and Prevention (CDC)'s National Concussion Surveillance System (NCSS). Respondents who self-reported a head injury in the past 12 months...

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Identifiers

PMID: 38722037
DOI: 10.1080/02699052.2024.2352524
PMCID: PMC11323138

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PAM

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

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