Varun Ganapathi

RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild

Nov 02, 2022
Weiyao Wang, Byung-Hak Kim, Varun Ganapathi

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* To be presented at the 36th Conference on Neural Information Processing Systems, New Orleans, USA, on December 2, 2022, at the First Table Representation Learning (TRL) Workshop

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Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?

Oct 28, 2022
Byung-Hak Kim, Zhongfen Deng, Philip S. Yu, Varun Ganapathi

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* To appear in Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (Louhi 2022), Virtual, December 7, 2022

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Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines

Jul 10, 2021
Byung-Hak Kim, Varun Ganapathi

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* To appear in Proceedings of Machine Learning Research, Volume 149: Machine Learning for Healthcare Conference (MLHC), Virtual, August 6-7, 2021

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Deep Claim: Payer Response Prediction from Claims Data with Deep Learning

Jul 13, 2020
Byung-Hak Kim, Seshadri Sridharan, Andy Atwal, Varun Ganapathi

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* To be presented at the Healthcare Systems, Population Health, and the Role of Health-Tech (HSYS) Workshop at the 37th International Conference on Machine Learning, Vienna, Austria, July 13-18, 2020

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