DrugPred: an EdgeConv-GNN and Bio_ClinicalBERT based polypharmacy ADR prediction and specialist recommendation model
- DOI
- 10.3389/frai.2026.1874825
- Published
- 2026-07-29
- Container
- Frontiers in Artificial Intelligence
- Publisher
- Frontiers Media SA
- 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:10.3389/frai.2026.1874825,
title = {DrugPred: an EdgeConv-GNN and Bio\_ClinicalBERT based polypharmacy ADR prediction and specialist recommendation model},
author = {J. G. Arjay and K. Adit Pushan and N. Roshanthraj and Brindha Subburaj and Sherly Alphonse and Girish Subramanian},
year = {2026},
journal = {Frontiers in Artificial Intelligence},
doi = {10.3389/frai.2026.1874825},
url = {https://doi.org/10.3389/frai.2026.1874825}
}RIS
TY - JOUR TI - DrugPred: an EdgeConv-GNN and Bio_ClinicalBERT based polypharmacy ADR prediction and specialist recommendation model AU - J. G. Arjay AU - K. Adit Pushan AU - N. Roshanthraj AU - Brindha Subburaj AU - Sherly Alphonse AU - Girish Subramanian PY - 2026 JO - Frontiers in Artificial Intelligence DO - 10.3389/frai.2026.1874825 UR - https://doi.org/10.3389/frai.2026.1874825 ER -
APA
Arjay, J. G., Pushan, K. A., Roshanthraj, N., Subburaj, B., Alphonse, S., & Subramanian, G. (2026). DrugPred: an EdgeConv-GNN and Bio_ClinicalBERT based polypharmacy ADR prediction and specialist recommendation model. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1874825
Source records
- crossref · retrieved 2026-09-25T09:33:51.436Z