Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)
- DOI
- 10.12659/msm.913283
- Published
- 2019-03-17
- Container
- Medical Science Monitor
- Publisher
- International Scientific Information, Inc.
- 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:10.12659/msm.913283,
title = {Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA)},
author = {Worrawat Engchuan and Alexandros C. Dimopoulos and Stefanos Tyrovolas and Francisco Félix Caballero and Albert Sanchez-Niubo and Holger Arndt and Jose Luis Ayuso-Mateos and Josep Maria Haro and Somnath Chatterji and Demosthenes B. Panagiotakos},
year = {2019},
journal = {Medical Science Monitor},
doi = {10.12659/msm.913283},
url = {https://doi.org/10.12659/msm.913283}
}RIS
TY - JOUR TI - Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA) AU - Worrawat Engchuan AU - Alexandros C. Dimopoulos AU - Stefanos Tyrovolas AU - Francisco Félix Caballero AU - Albert Sanchez-Niubo AU - Holger Arndt AU - Jose Luis Ayuso-Mateos AU - Josep Maria Haro AU - Somnath Chatterji AU - Demosthenes B. Panagiotakos PY - 2019 JO - Medical Science Monitor DO - 10.12659/msm.913283 UR - https://doi.org/10.12659/msm.913283 ER -
APA
Engchuan, W., Dimopoulos, A. C., Tyrovolas, S., Caballero, F. F., Sanchez-Niubo, A., Arndt, H., Ayuso-Mateos, J. L., Haro, J. M., Chatterji, S., & Panagiotakos, D. B. (2019). Sociodemographic Indicators of Health Status Using a Machine Learning Approach and Data from the English Longitudinal Study of Aging (ELSA). Medical Science Monitor. https://doi.org/10.12659/msm.913283
Source records
- crossref · retrieved 2026-09-25T22:21:37.606Z