Peak Outpatient and Emergency Department Visit Forecasting for Patients With Chronic Respiratory Diseases Using Machine Learning Methods: Retrospective Cohort Study

BACKGROUND: The overcrowding of hospital outpatient and emergency departments (OEDs) due to chronic respiratory diseases in certain weather or under certain environmental pollution conditions results in the degradation in quality of medical care, and even limits its availability. OBJECTIVE: To help...

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Detalles Bibliográficos
Autores principales: Peng, Junfeng, Chen, Chuan, Zhou, Mi, Xie, Xiaohua, Zhou, Yuqi, Luo, Ching-Hsing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154928/
https://www.ncbi.nlm.nih.gov/pubmed/32224488
http://dx.doi.org/10.2196/13075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7154928/
https://www.ncbi.nlm.nih.gov/pubmed/32224488
http://dx.doi.org/10.2196/13075

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