Sivaraman Rajaganapathy

According to our database, Sivaraman Rajaganapathy authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models.

MunHwan Lee, Shaika Chowdhury, Xiaodi Li, Sivaraman Rajaganapathy, Eric W. Klee, Ping Yang, Terence T. Sio, Liewei Wang, James R. Cerhan, Nansu Zong

CoRR, December, 2025

Launching Insights: A Pilot Study on Leveraging Real-World Observational Data from the Mayo Clinic Platform to Advance Clinical Research.

Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy, Jingna Feng, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Ken Liu, Liu Yang, Nilufer Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark Otley, Nansu Zong, John Halamka, Cui Tao

CoRR, April, 2025

Advancing efficacy prediction for electronic health records based emulated trials in repurposing heart failure therapies.

Nansu Zong, Shaika Chowdhury, Shibo Zhou, Sivaraman Rajaganapathy, Yue Yu, Liewei Wang, Qiying Dai, Pengyang Li, Xiaoke Liu, Suzette J. Bielinski, Jun Chen, Yongbin Chen, James R. Cerhan

npj Digit. Medicine, 2025

A Physics-Augmented Deep Learning Framework for Classifying Single Molecule Force Spectroscopy Data.

Cailong Hua, Sivaraman Rajaganapathy, Rebecca A. Slick, Joseph Vavra, Joseph M. Muretta, James M. Ervasti, Murti V. Salapaka

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Stratifying heart failure patients with graph neural network and transformer using Electronic Health Records to optimize drug response prediction.

Shaika Chowdhury, Yongbin Chen, Pengyang Li, Sivaraman Rajaganapathy, Andrew Wen, Xiao Ma, Qiying Dai, Yue Yu, Sunyang Fu, Xiaoqian Jiang, Zhe He, Sunghwan Sohn, Xiaoke Liu, Suzette J. Bielinski, Alanna M. Chamberlain, James R. Cerhan, Nansu Zong

J. Am. Medical Informatics Assoc., 2024

2023

Using artificial intelligence to learn optimal regimen plan for Alzheimer's disease.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

J. Am. Medical Informatics Assoc., September, 2023

Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction.

Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun, James R. Cerhan, Nansu Zong

CoRR, 2023

Learning Physician's Treatment for Alzheimer's Disease based on Electronic Health Records and Reinforcement Learning.

Kritib Bhattarai, Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, Qiying Dai, Xiaoyang Li, Xiaoqian Jiang, Nansu Zong

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Change detection using an iterative algorithm with guarantees.

Sivaraman Rajaganapathy, James Melbourne, Murti V. Salapaka

Autom., 2022

2018

Learning and Estimation of Single Molecule Behavior.

Sivaraman Rajaganapathy, James Melbourne, Tanuj Aggarwal, Rachit Shrivastava, Murti V. Salapaka

Proceedings of the 2018 Annual American Control Conference, 2018