Random forest-based prediction of intracranial hypertension in patients with traumatic brain injury.

ABSTRACT:

Background

Treatment and prevention of intracranial hypertension (IH) to minimize secondary brain injury are central to the neurocritical care management of traumatic brain injury (TBI). Predicting the onset of IH in advance allows for a more aggressive prophylactic treatment. This study aimed to develop random forest (RF) models for predicting IH events in TBI patients.

Methods

We analyzed prospectively collected data from patients admitted to the intensive care unit with invasive intracranial pressure (ICP) monitoring. Patients with persistent ICP > 22 mmHg in the early postoperative period (first 6 h) were excluded to focus on IH events that had not yet occurred. ICP-related data from the initial 6 h were used to extract linear (ICP, cerebral perfusion pressure, pressure

SUBMITTER: Zhu J 

PROVIDER: S-EPMC11219663 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature