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

CITE Title : Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot Personal Author(s) : Waltzman, Dana;Daugherty, Jill;Peterson, Alexis;Lumba-Brown, Angela; Published Date : 9 18 2024;9-18-; Source : Brain Inj. 38(11):880-888 URL : https://stacks.cdc.gov/view/cdc/160148 Waltzman, Dana et al. (2024). Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot. 38(11). Waltzman, Dana et al. "Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot" 38, no. 11 (2024) Waltzman, Dana et al. "Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot" vol. 38, no. 11, 2024 Export RIS Citation Information.

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Waltzman, Dana

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Daugherty, Jill

9 18 2024 | Brain Inj. 38(11):880-888

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Objective:The objective is to determine whether unsupervised machine learning identifies traumatic brain injury (TBI) phenotypes with unique clinical ...

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