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Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records.

Journal article

Rao S. et al, (2022), IEEE Trans Neural Netw Learn Syst, PP

An explainable Transformer-based deep learning model for the prediction of incident heart failure.

Journal article

Rao S. et al, (2022), IEEE J Biomed Health Inform, PP

Associations of longitudinal fetal growth patterns with cardiometabolic factors at birth

Journal article

Huang J-S. et al, (2021), Frontiers in Endocrinology

Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

Journal article

Li Y. et al, (2021), Scientific Reports, 11

Ambient Air Pollution and Respiratory Health in Sub-Saharan African Children: A Cross-Sectional Analysis

Journal article

Cai Y. et al, (2021), International Journal of Environmental Research and Public Health, 18, 9729 - 9729

Perinatal health predictors using Artificial Intelligence

Journal article

RAMAKRISHNAN R. et al, (2021), Women's Health

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