Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges
- DOI
- 10.1002/cdt3.137
- Published
- 2024-06-09
- Container
- Chronic Diseases and Translational Medicine
- Publisher
- Wiley
- 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:10.1002/cdt3.137,
title = {Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges},
author = {Ebenezer Afrifa‐Yamoah and Eric Adua and Emmanuel Peprah‐Yamoah and Enoch O. Anto and Victor Opoku‐Yamoah and Emmanuel Acheampong and Michael J. Macartney and Rashid Hashmi},
year = {2024},
journal = {Chronic Diseases and Translational Medicine},
doi = {10.1002/cdt3.137},
url = {https://doi.org/10.1002/cdt3.137}
}RIS
TY - JOUR TI - Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges AU - Ebenezer Afrifa‐Yamoah AU - Eric Adua AU - Emmanuel Peprah‐Yamoah AU - Enoch O. Anto AU - Victor Opoku‐Yamoah AU - Emmanuel Acheampong AU - Michael J. Macartney AU - Rashid Hashmi PY - 2024 JO - Chronic Diseases and Translational Medicine DO - 10.1002/cdt3.137 UR - https://doi.org/10.1002/cdt3.137 ER -
APA
Afrifa‐Yamoah, E., Adua, E., Peprah‐Yamoah, E., Anto, E. O., Opoku‐Yamoah, V., Acheampong, E., Macartney, M. J., & Hashmi, R. (2024). Pathways to chronic disease detection and prediction: Mapping the potential of machine learning to the pathophysiological processes while navigating ethical challenges. Chronic Diseases and Translational Medicine. https://doi.org/10.1002/cdt3.137
Source records
- crossref · retrieved 2026-09-26T19:04:31.992Z