Privacy-preserving deep learning approaches for effective utilization of wearable health data
- DOI
- 10.1016/j.measen.2024.101238
- Published
- 2024-06
- Container
- Measurement: Sensors
- Publisher
- Elsevier BV
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1016/j.measen.2024.101238,
title = {Privacy-preserving deep learning approaches for effective utilization of wearable health data},
author = {Gerard Deepak and Priti Sharma and S. Jayachitra and Jyothi Chepur and T. Srihari and T. Judgi},
year = {2024},
journal = {Measurement: Sensors},
doi = {10.1016/j.measen.2024.101238},
url = {https://doi.org/10.1016/j.measen.2024.101238}
}RIS
TY - JOUR TI - Privacy-preserving deep learning approaches for effective utilization of wearable health data AU - Gerard Deepak AU - Priti Sharma AU - S. Jayachitra AU - Jyothi Chepur AU - T. Srihari AU - T. Judgi PY - 2024 JO - Measurement: Sensors DO - 10.1016/j.measen.2024.101238 UR - https://doi.org/10.1016/j.measen.2024.101238 ER -
APA
Deepak, G., Sharma, P., Jayachitra, S., Chepur, J., Srihari, T., & Judgi, T. (2024). Privacy-preserving deep learning approaches for effective utilization of wearable health data. Measurement: Sensors. https://doi.org/10.1016/j.measen.2024.101238
Source records
- crossref · retrieved 2026-09-26T01:05:53.754Z