State of Asthma-Related Hospital Admissions in New Zealand and Predicting Length of Stay Using Machine Learning

State of Asthma-Related Hospital Admissions in New Zealand and Predicting Length of Stay Using Machine Learning

Length of stay (LOS) is a key indicator of healthcare quality and reflects the burden on the healthcare system. However, limited studies have used machine learning to predict LOS in asthma. This study aimed to explore the characteristics and associations between asthma-related admission data variabl...

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Bibliographic Details
Main Authors: Widana Kankanamge Darsha Jayamini, Farhaan Mirza, M. Asif Naeem, Amy Hai Yan Chan
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
asthma
length of stay
machine-learning
prediction
Online Access:https://www.mdpi.com/2076-3417/12/19/9890

Internet

https://www.mdpi.com/2076-3417/12/19/9890

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