Rema Ramakrishnan

According to our database, Rema Ramakrishnan authored at least 4 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Shishir Rao, Mohammad Mamouei, Gholamreza Salimi-Khorshidi, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, Kazem Rahimi

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2022

An Explainable Transformer-Based Deep Learning Model for the Prediction of Incident Heart Failure.

Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John G. F. Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi

IEEE J. Biomed. Health Informatics, 2022

2021

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

Shishir Rao, Yikuan Li, Rema Ramakrishnan, Abdelaali Hassaïne, Dexter Canoy, John Cleland, Thomas Lukasiewicz, Gholamreza Salimi Khorshidi, Kazem Rahimi

CoRR, 2021

2020

Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records.

Yikuan Li, Shishir Rao, Abdelaali Hassaïne, Rema Ramakrishnan, Yajie Zhu, Dexter Canoy, Gholamreza Salimi Khorshidi, Thomas Lukasiewicz, Kazem Rahimi

CoRR, 2020