A Transformer-Based Framework for Counterfactual Estimation of Antihypertensive Treatment Effect on COVID-19 Infection Risk - A Proof-of-Concept Study
ACEIs do not substantially increase the risk of COVID-19 infection while the protective effects of BBs and CCBs warrant further investigation. This study highlights the potential of transformer-based causal inference models as a powerful tool for evaluating treatment safety and efficacy in complex healthcare scenarios.
Authors
- Sandosh Padmanabhan (ORCID: https://orcid.org/0000-0003-3869-5808)
- Shyam Visweswaran (ORCID: https://orcid.org/0000-0002-2079-8684)
- Honghan Wu (ORCID: https://orcid.org/0000-0002-0213-5668)
- Jill P. Pell (ORCID: https://orcid.org/0000-0002-8898-7035)
- Stefanie Lip (ORCID: https://orcid.org/0000-0001-8515-9018)
- Tran Tran (ORCID: https://orcid.org/0000-0001-6829-6432)
Institutions
- University of Pittsburgh (US)
- Queen Elizabeth University Hospital (GB)
- University of Glasgow (GB)
Publication Details
- Journal
- American Journal of Hypertension
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1093/ajh/hpaf055
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- British Heart Foundation
- Heart Research UK