Predicting emergency department utilization among children with asthma using deep learning models

Predicting emergency department utilization among children with asthma using deep learning models

Pediatric asthma is a leading cause of emergency department (ED) utilization, which is expensive and often preventable. Therefore, development of ED utilization predictive models that can accurately predict patients at high-risk of frequent ED use and subsequently steering their treatment pathway to...

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Bibliographic Details
Main Authors: Rawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi, Sabri Boughorbel
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Healthcare Analytics
Subjects:
Deep learning
Predictive models
Electronic health record
Emergency medicine
Asthma
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442522000181

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http://www.sciencedirect.com/science/article/pii/S2772442522000181

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