Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study.

ABSTRACT:

Background

During a pandemic, it is important for clinicians to stratify patients and decide who receives limited medical resources. Machine learning models have been proposed to accurately predict COVID-19 disease severity. Previous studies have typically tested only one machine learning algorithm and limited performance evaluation to area under the curve analysis. To obtain the best results possible, it may be important to test different machine learning algorithms to find the best prediction model.

Objective

In this study, we aimed to use automated machine learning (autoML) to train various machine learning algorithms. We selected the model that best predicted patients' chances of surviving a SARS-CoV-2 infection. In addition, we identified which variables (ie, vital sign

SUBMITTER: Ikemura K 

PROVIDER: S-EPMC7919846 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature