Khushbu Agarwal, Sutanay Choudhury, Sindhu Tipirneni, Pritam Mukherjee, Colby Ham, Suzanne Tamang, Matthew Baker et al. Preparing for the next pandemic: Transfer learning from existing diseases via hierarchical multi-modal BERT models to predict COVID-19 outcomes. Nature Scientific Reports 2022. [link] [code]
Amin Nayebi, Sindhu Tipirneni, Brandon Foreman, Jonathan Ratcliff, Chandan K Reddy, Vignesh Subbian. Recurrent Neural Network based Time-Series Modeling for Long-term Prognosis Following Acute Traumatic Brain Injury. AMIA 2021 Annual Symposium. [preprint]
Posters and Presentations
Sindhu Tipirneni, Byung H. Park, Everett Rush, Ozgur Ozmen, Makoto M. Jones, Merry Ward, Jonathan Nebeker, Chandan K. Reddy. Interpretable Attention-based Models for Identifying Prescribing Patterns for Major Depressive Disorder. Poster presented at AMIA 2021 Virtual Clinical Informatics Conference.
Sindhu Tipirneni and Alex McCaskey. Ground State Electronic Calculations with Restricted Boltzmann Machines using Quantum Annealing. Presented at AI Expo 2019, Oak Ridge National Laboratory.
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Chandan Reddy, Suzanne Tamang, Robert Rallo, and Veysel Kocaman. Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. Poster presented at AMIA 2021 Annual Symposium.