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
- newly diagnosed
- ejection fraction
- chronic kidney disease
- healthcare
- prognostic factors
- mild traumatic brain injury
- mental health
- peritoneal dialysis
- artificial intelligence
- randomized controlled trial
- severe traumatic brain injury
- risk assessment
- health information
- big data
- deep learning