Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders.
- DOI
- 10.1016/j.jad.2026.122559
- Published
- 2026 Sep 24
- Container
- Journal of affective disorders
- 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:10.1016/j.jad.2026.122559,
title = {Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders.},
author = {Kang B and Lee JY and Chang JW and Lee H and Park M and Baek JH and Chung MJ and Kim T and Choi JS},
year = {2026},
journal = {Journal of affective disorders},
doi = {10.1016/j.jad.2026.122559},
url = {https://doi.org/10.1016/j.jad.2026.122559}
}RIS
TY - JOUR TI - Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders. AU - Kang B AU - Lee JY AU - Chang JW AU - Lee H AU - Park M AU - Baek JH AU - Chung MJ AU - Kim T AU - Choi JS PY - 2026 JO - Journal of affective disorders DO - 10.1016/j.jad.2026.122559 UR - https://doi.org/10.1016/j.jad.2026.122559 ER -
APA
B, K., JY, L., JW, C., H, L., M, P., JH, B., MJ, C., T, K., & JS, C. (2026). Multimodal machine learning model integrating electroencephalography, heart rate variability and clinical measures for distinguishing major psychiatric disorders.. Journal of affective disorders. https://doi.org/10.1016/j.jad.2026.122559
Source records
- pubmed · retrieved 2026-09-25T05:01:32.620Z