Intracranial pressure-flow relationships in traumatic brain injury patients expose gaps in the tenets of models and pressure-oriented management.
J N StrohBrandon ForemanTellen D BennettJennifer K BriggsSoojin ParkDavid J AlbersPublished in: medRxiv : the preprint server for health sciences (2024)
indirectly through the relationship between CBF and other clinical observables. This approach could potentially help personalize TBI care by considering intracranial pressure and CPP in relation to other data, particularly CBF. The analysis suggests a threshold using clinical indices of autoregulation jointly generalizes independently set indicators to assess CA functionality. These results support the use of increasingly data-rich environments to develop more robust hybrid physiological-machine learning models.
Keyphrases
- traumatic brain injury
- machine learning
- end stage renal disease
- big data
- ejection fraction
- electronic health record
- newly diagnosed
- healthcare
- chronic kidney disease
- palliative care
- prognostic factors
- peritoneal dialysis
- artificial intelligence
- severe traumatic brain injury
- pain management
- optic nerve
- patient reported outcomes
- data analysis
- patient reported
- protein kinase
- mild traumatic brain injury