Deep learning prediction of hospital readmissions for asthma and COPD
Abstract Question Severe asthma and COPD exacerbations requiring hospitalization are linked to increased disease morbidity and healthcare costs. We sought to identify Electronic Health Record (EHR) features of severe asthma and COPD exacerbations and evaluate the performance of four machine learning...
Main Authors: | Kevin Lopez, Huan Li, Zachary Lipkin-Moore, Shannon Kay, Haseena Rajeevan, J. Lucian Davis, F. Perry Wilson, Carolyn L. Rochester, Jose L. Gomez |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-12-01
|
Series: | Respiratory Research |
Online Access: | https://doi.org/10.1186/s12931-023-02628-7 |
Similar Items
-
Readmission After COPD Exacerbation Scale: determining 30-day readmission risk for COPD patients
by: Lau CSM, et al.
Published: (2017-06-01) -
Comorbidities in patients with COPD and pulmonary rehabilitation: do they matter?
by: Frits M.E. Franssen, et al.
Published: (2014-03-01) -
Predicting and preventing hospital readmission for exacerbations of COPD
by: Chia Wei Kong, et al.
Published: (2020-05-01) -
Dust exposure and the impact on hospital readmission of farming and wood industry workers for asthma and chronic obstructive pulmonary disease (COPD)
by: Anne Vested, et al.
Published: (2021-03-01) -
Hospitalization, Asthma Phenotypes, and Readmission Rates in Pre-school Asthma
by: Helena Donath, et al.
Published: (2020-11-01)