Predicting Kidney Transplant Recipient Cohorts’ 30-Day Re- Hospitalization Using Clinical Notes and Electronic Healthcare Record Data. Arenson, M.; Hogan, J.; Xu, L.; Lynch, R.; Lee, Y. H.; Choi, J. D.; Sun, J.; Adams, A.; Patzer, R. Kidney International Reports (KIR), 2023.
Read MoreNoise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning. Xu, L.; Hogan, J.; Patzer, R. E.; and Choi, J. D. Proceedings of the ACL Workshop on Biomedical Natural Language Processing (BioNLP), 2020.
Read MoreMultimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission. Shin, B.; Hogan, J.; Adams, A. B.; Lynch, R. J.; Patzer, R. E.; and Choi, J. D. Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2019.
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