Comparison of nine machine learning regression models in predicting hospital length of stay for patients admitted to a general medicine department-Reference-Cited by-同舟云学术

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Comparison of nine machine learning regression models in predicting hospital length of stay for patients admitted to a general medicine department

Published:2024 Issue: Volume:47 Page:101499
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Zeleke Addisu Jember^ORCID,Palumbo Pierpaolo,Tubertini Paolo,Miglio Rossella,Chiari Lorenzo

Publisher

Elsevier BV

Reference30 articles.

1. Data analytics for the sustainable use of resources in hospitals: predicting the length of stay for patients with chronic diseases;Zolbanin;Inf Manag,2022

2. Analysis of length of hospital stay using electronic health records: a statistical and data mining approach;Baek;PLoS One,2018

3. Predicting the prolonged length of stay of general surgery patients: a supervised learning approach;Chuang;Int Trans Oper Res,2018

4. The development of patient groupings for more effective management of health care;Sanderson;Eur J Publ Health,1997

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