@article{Tran_T-2025_199790,
title = {A transformer-based framework for counterfactual estimation of antihypertensive treatment effect on COVID-19 infection risk - a proof-of-concept study},
author = {Tran, T. and Lip, S. and Wu, H. and Visweswaran, S. and Pell, J. and Padmanabhan, S.},
month = {apr},
year = {2025},
abstract = {BackgroundTransformer-based neural networks excel in modelling high-dimensional, time-series data with complex dependencies. This proof-of-concept study applies a transformer-X-learner framework to estimate treatment effects using real-world data, using antihypertensive drug exposure and COVID-19 risk as an exemplar.},
journal = {American Journal of Hypertension},
publisher = {Oxford University Press},
url = {https://doi.org/10.1093/ajh/hpaf055},
}
