Explainable machine learning for early prediction of sepsis in traumatic brain injury: A discovery and validation study.

Explainable machine learning for early prediction of sepsis in traumatic brain injury: A discovery and validation study.

<h4>Background</h4>People with traumatic brain injury (TBI) are at high risk for infection and sepsis. The aim of the study was to develop and validate an explainable machine learning(ML) model based on clinical features for early prediction of the risk of sepsis in TBI patients.<h4&g...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenchi Liu, Xing Yu, Jinhong Chen, Weizhi Chen, Qiaoyi Wu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0313132
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items