Use of machine learning models to predict mechanical ventilation, ECMO, and mortality in COVID-19.

ABSTRACT:

Introduction

Patients with severe COVID-19 may require MV or ECMO. Predicting who will require interventions and the duration of those interventions are challenging due to the diverse responses among patients and the dynamic nature of the disease. As such, there is a need for better prediction of the duration and outcomes of MV use in patients, to improve patient care and aid with MV and ECMO allocation. Here we develop and examine the performance of ML models to predict MV duration, ECMO, and mortality for patients with COVID-19.

Methods

In this retrospective prognostic study, hierarchical machine-learning models were developed to predict MV duration and outcome prediction from demographic data and time-series data consisting of vital signs and laboratory results. We train

SUBMITTER: Moorman N 

PROVIDER: S-EPMC12816323 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature