AI and IoT for COPD Remote Monitoring: A Systematic Review of ECOPD Prediction Frameworks and Key Monitoring Physiological Variables (Preprint)

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Publication Details

Journal
JMIR Medical Informatics
Published
2025-09-25
DOI
https://doi.org/10.2196/84814
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00

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article

AI and IoT for COPD Remote Monitoring: A Systematic Review of ECOPD Prediction Frameworks and Key Monitoring Physiological Variables (Preprint)

Bart Vanrumste, Chunzhuo Wang, Jasper Gielen, Jean-Marie Aerts et al.
JMIR Medical Informatics
Chronic Obstructive Pulmonary Disease (COPD) Research
article

AI and IoT for COPD Remote Monitoring: A Systematic Review of ECOPD Prediction Frameworks and Key Monitoring Physiological Variables (Preprint)

Bart Vanrumste, Chunzhuo Wang, Jasper Gielen, Jean-Marie Aerts, Ruben Knevels, David Ruttens, Martina Montenegro
article en

Abstract

No abstract available for this paper.
JMIR Medical Informatics
European Commission, European Regional Development Fund, Interreg
Climate action
Openalex Percentile: Top 24%
Chronic Obstructive Pulmonary Disease (COPD) Research
DOIOpen Access PDFOpenAlex
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AI and IoT for COPD Remote Monitoring: A Systematic Review of ECOPD Prediction Frameworks and Key Monitoring Physiological Variables (Preprint) — Bart Vanrumste, Chunzhuo Wang, et al. · JMIR Medical Informatics (2025) | TGRS Research Map | TGRS