Use of claims data to predict the inpatient length of stay among U.S. stroke patients-Reference-Cited by-同舟云学术

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Use of claims data to predict the inpatient length of stay among U.S. stroke patients

Published:2023 Issue: Volume:42 Page:101337
ISSN:2352-9148
Container-title:Informatics in Medicine Unlocked
language:en
Short-container-title:Informatics in Medicine Unlocked

Author:

Quan Xiaobo^ORCID,Gopukumar Deepika^ORCID

Publisher

Elsevier BV

Subject

Health Informatics

Reference25 articles.

1. A literature review on length of stay prediction for stroke patients using machine learning and statistical approaches;Alkhatib,2021

2. Better nurse work environments associated with fewer readmissions and shorter length of stay among adults with ischemic stroke: a cross-sectional analysis of United States hospitals;Brom;Res Nurs Health,2021

3. Abstract 27: predicting ischemic stroke in emergency departments: development and validation of machine learning models;Abedi;Stroke,2022

4. Predicting post-stroke pneumonia using deep neural network approaches;Ge;Int J Med Inf,2019

5. Developing a stroke alert trigger for clinical decision support at emergency triage using machine learning;Sung;Int J Med Inf,2021

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