From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.
- DOI
- 10.1016/j.bioelechem.2026.109228
- Published
- 2026 Aug
- Container
- Bioelectrochemistry (Amsterdam, Netherlands)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.bioelechem.2026.109228,
title = {From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.},
author = {Zhao M and Liu R and Jin S and Ren B and Zhang Q},
year = {2026},
journal = {Bioelectrochemistry (Amsterdam, Netherlands)},
doi = {10.1016/j.bioelechem.2026.109228},
url = {https://doi.org/10.1016/j.bioelechem.2026.109228}
}RIS
TY - JOUR TI - From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare. AU - Zhao M AU - Liu R AU - Jin S AU - Ren B AU - Zhang Q PY - 2026 JO - Bioelectrochemistry (Amsterdam, Netherlands) DO - 10.1016/j.bioelechem.2026.109228 UR - https://doi.org/10.1016/j.bioelechem.2026.109228 ER -
APA
M, Z., R, L., S, J., B, R., & Q, Z. (2026). From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.. Bioelectrochemistry (Amsterdam, Netherlands). https://doi.org/10.1016/j.bioelechem.2026.109228
Source records
- pubmed · retrieved 2026-09-26T00:20:57.628Z