Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative.
- DOI
- 10.1161/jaha.125.049029
- Published
- 2026-09-09
- Container
- J Am Heart Assoc
- Publisher
- Not recorded
- Open access
- no
Credibility signals
uncertain Score 51/100 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.
- supportingDirectory of Open Access Journals: A matching record was returned by DOAJ.
- 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:10.1161/jaha.125.049029,
title = {Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative.},
author = {Adamson E and Li H and Xu Z and Tanner D and Ling W and Qi Y and Liu C and Zhou RZ and Speyer P and Volkmann AM and Shaikh B and Weeks WB and Lavista Ferres JM and Zhang Y and Aerts A.},
year = {2026},
journal = {J Am Heart Assoc},
doi = {10.1161/jaha.125.049029},
url = {https://doi.org/10.1161/jaha.125.049029}
}RIS
TY - JOUR TI - Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative. AU - Adamson E AU - Li H AU - Xu Z AU - Tanner D AU - Ling W AU - Qi Y AU - Liu C AU - Zhou RZ AU - Speyer P AU - Volkmann AM AU - Shaikh B AU - Weeks WB AU - Lavista Ferres JM AU - Zhang Y AU - Aerts A. PY - 2026 JO - J Am Heart Assoc DO - 10.1161/jaha.125.049029 UR - https://doi.org/10.1161/jaha.125.049029 ER -
APA
E, A., H, L., Z, X., D, T., W, L., Y, Q., C, L., RZ, Z., P, S., AM, V., B, S., WB, W., JM, L. F., Y, Z., & A., A. (2026). Using Machine Learning to Identify Social Risk Factors of Hypertension and Diabetes in New York City: Evidence to Support the HealthyNYC Initiative.. J Am Heart Assoc. https://doi.org/10.1161/jaha.125.049029
Source records
- europe-pmc · retrieved 2026-09-26T15:53:29.679Z
- doaj · retrieved 2026-09-26T15:53:29.675Z