A Bayesian Hidden Markov Model for Predicting Depression and Evaluating Medical Interventions
- DOI
- 10.9734/ajpas/2025/v27i2716
- Published
- 2025-02-08
- Container
- Asian Journal of Probability and Statistics
- Publisher
- Sciencedomain International
- 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:10.9734/ajpas/2025/v27i2716,
title = {A Bayesian Hidden Markov Model for Predicting Depression and Evaluating Medical Interventions},
author = {Charles Wambugu Mwangi and Kennedy Nyongesa and Evelyne Akoth Odero},
year = {2025},
journal = {Asian Journal of Probability and Statistics},
doi = {10.9734/ajpas/2025/v27i2716},
url = {https://doi.org/10.9734/ajpas/2025/v27i2716}
}RIS
TY - JOUR TI - A Bayesian Hidden Markov Model for Predicting Depression and Evaluating Medical Interventions AU - Charles Wambugu Mwangi AU - Kennedy Nyongesa AU - Evelyne Akoth Odero PY - 2025 JO - Asian Journal of Probability and Statistics DO - 10.9734/ajpas/2025/v27i2716 UR - https://doi.org/10.9734/ajpas/2025/v27i2716 ER -
APA
Mwangi, C. W., Nyongesa, K., & Odero, E. A. (2025). A Bayesian Hidden Markov Model for Predicting Depression and Evaluating Medical Interventions. Asian Journal of Probability and Statistics. https://doi.org/10.9734/ajpas/2025/v27i2716
Source records
- crossref · retrieved 2026-11-07T22:04:25.644Z