AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.
- DOI
- 10.2196/84814
- Published
- 2026 May 6
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/84814,
title = {AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.},
author = {Montenegro M and Gielen J and Wang C and Vanrumste B and Ruttens D and Knevels R and Aerts JM},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/84814},
url = {https://doi.org/10.2196/84814}
}RIS
TY - JOUR TI - AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables. AU - Montenegro M AU - Gielen J AU - Wang C AU - Vanrumste B AU - Ruttens D AU - Knevels R AU - Aerts JM PY - 2026 JO - JMIR medical informatics DO - 10.2196/84814 UR - https://doi.org/10.2196/84814 ER -
APA
M, M., J, G., C, W., B, V., D, R., R, K., & JM, A. (2026). AI and Internet of Things for Chronic Obstructive Pulmonary Disease Remote Monitoring: Systematic Review of Exacerbation Prediction and Key Physiological Variables.. JMIR medical informatics. https://doi.org/10.2196/84814
Source records
- pubmed · retrieved 2026-09-25T18:42:43.429Z
- europe-pmc · retrieved 2026-09-25T18:42:43.412Z
- doaj · retrieved 2026-09-25T18:42:43.429Z