Novel Machine Learning Can Predict Acute Asthma Exacerbation.

ABSTRACT:

Background

Asthma exacerbations result in significant health and economic burden, but are difficult to predict.

Research question

Can machine learning (ML) models with large-scale outpatient data predict asthma exacerbations?

Study design and methods

We analyzed data extracted from electronic health records (EHRs) of asthma patients treated at the Cleveland Clinic from 2010 through 2018. Demographic information, comorbidities, laboratory values, and asthma medications were included as covariates. Three different models were built with logistic regression, random forests, and a gradient boosting decision tree to predict: (1) nonsevere asthma exacerbation requiring oral glucocorticoid burst, (2) ED visits, and (3) hospitalizations.

Results

Of 60,302 patients, 19,

SUBMITTER: Zein JG 

PROVIDER: S-EPMC8129731 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature