Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms-Reference-Cited by-同舟云学术

Prediction of Chronic Disease-Related Inpatient Prolonged Length of Stay Using Machine Learning Algorithms

Published:2020 Issue:1 Volume:26 Page:20
ISSN:2093-3681
Container-title:Healthcare Informatics Research
language:en
Short-container-title:Healthc Inform Res

Author:

Symum Hasan¹^ORCID,Zayas-Castro José L.¹²^ORCID

Affiliation:

1. Department of Industrial and Management System Engineering, University of South Florida, Tampa, FL, USA.

2. College of Engineering, University of South Florida, Tampa, FL, USA.

Publisher

The Korean Society of Medical Informatics

Subject

Health Information Management,Health Informatics,Biomedical Engineering

Link

https://synapse.koreamed.org/pdf/10.4258/hir.2020.26.1.20

Reference30 articles.

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2. Overview of hospital stays in the United States, 2012 [Internet]. Rockville (MD). Agency for Healthcare Research and Quality. 2014. cited at 2020 Jan 10. Available from: https://www.hcup-us.ahrq.gov/reports/statbriefs/sb180-Hospitalizations-United-States-2012.pdf

3. Costs for hospital stays in the United States, 2010 [Internet]. Rockville (MD). Agency for Healthcare Research and Quality. 2013. cited at 2020 Jan 10. Available from: https://www.hcup-us.ahrq.gov/reports/statbriefs/sb146.pdf

4. Systematic Review of Risk Adjustment Models of Hospital Length of Stay (LOS)

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