A machine learning model for predicting acute exacerbation of in-home chronic obstructive pulmonary disease patients-Reference-Cited by-同舟云学术

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A machine learning model for predicting acute exacerbation of in-home chronic obstructive pulmonary disease patients

Published:2024-04 Issue: Volume:246 Page:108005
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Yin Huiming,Wang Kun,Yang Ruyu,Tan Yanfang,Li Qiang,Zhu Wei,Sung Suzi

Publisher

Elsevier BV

Reference32 articles.

1. Global Strategy for Prevention, Diagnosis and Management of COPD. 2020. https://goldcopd.org/archived-reports/.

2. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease: the GOLD science committee report 2019;Singh;Eur. Respir. J.,2019

3. An updated definition and severity classification of chronic obstructive pulmonary disease exacerbations: the Rome proposal;Celli;Am. J. Respir. Crit. Care Med.,2021

4. Management of chronic obstructive pulmonary disease: a review focusing on exacerbations;Bollmeier;Am. J. Health Syst. Pharm.,2020

5. Early therapy improves outcomes of exacerbations of chronic obstructive pulmonary disease;Wilkinson;Am. J. Respir. Crit. Care Med.,2004

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