Using machine learning to discover traumatic brain injury patient phenotypes: national concussion surveillance system Pilot.
Dana WaltzmanJill DaughertyAlexis PetersonAngela Lumba-BrownPublished in: Brain injury (2024)
Machine learning can be used to classify patients into unique TBI phenotypes. Further research might examine the utility of such classifications in supporting clinical diagnosis and patient recovery for this complex health condition.
Keyphrases
- traumatic brain injury
- machine learning
- public health
- end stage renal disease
- case report
- healthcare
- ejection fraction
- chronic kidney disease
- mental health
- mild traumatic brain injury
- prognostic factors
- peritoneal dialysis
- randomized controlled trial
- study protocol
- artificial intelligence
- severe traumatic brain injury
- clinical trial
- quality improvement
- risk assessment
- deep learning
- big data