Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS-Reference-Cited by-同舟云学术

Applying the DMAIC Cycle and Machine Learning to Examine COVID-19's Effects on Emergency Department-LOS

Published:2024-05-17 Issue: Volume:186 Page:291-297
ISSN:
Container-title:Proceedings of the 2024 8th International Conference on Medical and Health Informatics
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Author:

Scala Arianna¹^ORCID,Trunfio Teresa Angela²^ORCID,Improta Giovanni³^ORCID

Affiliation:

1. Department of Public Health, University of Naples ?Federico II?, Italy

2. Department of Advanced Biomedical Sciences, University of Naples ?Federico II?, Italy

3. Department of Public Health, University of Naples ?Federico II?, Italy and Interdepartmental Center for Research in Healthcare Management and Innovation in Healthcare (CIRMIS), University of Naples ?Federico II?, Italy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673971.3674008

Reference37 articles.

1. Hartnett, K. P., Kite-Powell, A., DeVies, J., Coletta, M. A., Boehmer, T. K., Adjemian, J., & Gundlapalli, A. V. (2020). Impact of the COVID-19 pandemic on emergency department visits—United States, January 1, 2019–May 30, 2020. Morbidity and Mortality Weekly Report, 69(23), 699.

2. Impact of the COVID-19 Pandemic on Emergency Adult Surgical Patients and Surgical Services

3. Boserup, B., McKenney, M., & Elkbuli, A. (2020). The impact of the COVID-19 pandemic on emergency department visits and patient safety in the United States. The American journal of emergency medicine, 38(9), 1732-1736

4. Hartnett, K. P., Kite-Powell, A., DeVies, J., Coletta, M. A., Boehmer, T. K., Adjemian, J., & Gundlapalli, A. V. (2020). Impact of the COVID-19 pandemic on emergency department visits—United States, January 1, 2019–May 30, 2020. Morbidity and Mortality Weekly Report, 69(23), 699.

5. The impact of COVID-19 on hospital admissions and emergency department visits: A population-based study