This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Chronic Conditions (434) Pulmonology, COPD (195) Machine Learning (2076) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Telehealth and Telemonitoring (2088) mHealth for Telemedicine and Homecare (531) Telerehabilitation (217)

Published on in Vol 26 (2024)

This is a member publication of University of Bristol (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52143, first published .
Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis

Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis

Remote Patient Monitoring and Machine Learning in Acute Exacerbations of Chronic Obstructive Pulmonary Disease: Dual Systematic Literature Review and Narrative Synthesis

Authors of this article:

Henry Mark Granger Glyde1 Author Orcid Image ;   Caitlin Morgan2 Author Orcid Image ;   Tom M A Wilkinson3 Author Orcid Image ;   Ian T Nabney4 Author Orcid Image ;   James W Dodd2 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

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  4. Hu C, Liao X, Fang Y, Zhu S, Lan X, Cheng G. Clinical and Cost-Effectiveness of Telehealth-Supported Home Oxygen Therapy on Adherence, Hospital Readmission, and Health-Related Quality of Life in Patients With Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2025;27:e73010 View
  5. Sánchez F, Bommatty M, Haro M, Ruiz F, del Mar Pérez Luque M, Bernáldez C, Montiel A, Gil V, Rodríguez F, Rueda D, Martinez M, López E, Escribano dueñas A, Baptista F. Telemonitoring in patients with COPD: A prospective study with results from the AIRE project. Respiratory Medicine 2025;248:108307 View
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  7. McCabe S, Madiraca J, Cole L, Morgan E, Fowler T, Smith W, O’Connor Durham C, Lindell K, Miller S. Clinical Provider Perspectives on Remote Spirometry and mHealth for COPD. Nursing Reports 2025;15(11):402 View
  8. Pozza M, Navarin N, Sakkalis V, Gabrielli S. Artificial Intelligence Methods and Digital Intervention Strategies for Predicting and Managing Chronic Obstructive Pulmonary Disease Exacerbations: An Umbrella Review. Healthcare 2025;13(23):3037 View
  9. Sun Z, Li H, Zheng Y, Jia X, Ma J, Liu H, Yu X, Wang L, Li Y, Zhang B. Interpretable machine learning model based on multimodal ultrasound for bedside diagnosis of acute exacerbations in COPD. Respiratory Research 2025;26(1) View