Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study.
- DOI
- 10.3390/s22041420
- Published
- 2022 Feb 12
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/s22041420,
title = {Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study.},
author = {Alsareii SA and Raza M and Alamri AM and AlAsmari MY and Irfan M and Khan U and Awais M},
year = {2022},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s22041420},
url = {https://doi.org/10.3390/s22041420}
}RIS
TY - JOUR TI - Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study. AU - Alsareii SA AU - Raza M AU - Alamri AM AU - AlAsmari MY AU - Irfan M AU - Khan U AU - Awais M PY - 2022 JO - Sensors (Basel, Switzerland) DO - 10.3390/s22041420 UR - https://doi.org/10.3390/s22041420 ER -
APA
SA, A., M, R., AM, A., MY, A., M, I., U, K., & M, A. (2022). Machine Learning and Internet of Things Enabled Monitoring of Post-Surgery Patients: A Pilot Study.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s22041420
Source records
- pubmed · retrieved 2026-09-25T22:21:15.532Z