IntraCranial pressure prediction AlgoRithm using machinE learning (I-CARE): Training and Validation Study.

ABSTRACT:

Objectives

Elevated intracranial pressure (ICP) is a potentially devastating complication of neurologic injury. Developing an ICP prediction algorithm to help the clinician adjust treatments and potentially prevent elevated ICP episodes.

Design

Retrospective study.

Setting

Three hundred thirty-five ICUs at 208 hospitals in the United States.

Subjects

Adults patients from the electronic ICU (eICU) Collaborative Research Database was used to train an ensemble machine learning model to predict the ICP 30 minutes in the future. Predictive performance was evaluated using a left-out test dataset and externally evaluated on the Medical Information Mart for Intensive Care-III (MIMIC-III) Matched Waveform Database.

Interventions

None.

Measurements and main res

SUBMITTER: Fong N 

PROVIDER: S-EPMC10756747 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature