Development of Machine-Learning-Based Algorithms for Remote Respiratory Disease Monitoring and Assessment.
- DOI
- 10.1093/milmed/usaf357
- Published
- 2025 Sep 1
- Container
- Military medicine
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- 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.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1093/milmed/usaf357,
title = {Development of Machine-Learning-Based Algorithms for Remote Respiratory Disease Monitoring and Assessment.},
author = {Orangi-Fard N and Bogdan A and Sagreiya H},
year = {2025},
journal = {Military medicine},
doi = {10.1093/milmed/usaf357},
url = {https://doi.org/10.1093/milmed/usaf357}
}RIS
TY - JOUR TI - Development of Machine-Learning-Based Algorithms for Remote Respiratory Disease Monitoring and Assessment. AU - Orangi-Fard N AU - Bogdan A AU - Sagreiya H PY - 2025 JO - Military medicine DO - 10.1093/milmed/usaf357 UR - https://doi.org/10.1093/milmed/usaf357 ER -
APA
N, O., A, B., & H, S. (2025). Development of Machine-Learning-Based Algorithms for Remote Respiratory Disease Monitoring and Assessment.. Military medicine. https://doi.org/10.1093/milmed/usaf357
Source records
- pubmed · retrieved 2026-09-25T13:12:32.707Z