Search Results for author: Julien Hogan

Found 2 papers, 0 papers with code

Noise Pollution in Hospital Readmission Prediction: Long Document Classification with Reinforcement Learning

no code implementations WS 2020 Liyan Xu, Julien Hogan, Rachel E. Patzer, Jinho D. Choi

This paper presents a reinforcement learning approach to extract noise in long clinical documents for the task of readmission prediction after kidney transplant.

Document Classification General Classification +3

Multimodal Ensemble Approach to Incorporate Various Types of Clinical Notes for Predicting Readmission

no code implementations31 May 2019 Bonggun Shin, Julien Hogan, Andrew B. Adams, Raymond J. Lynch, Rachel E. Patzer, Jinho D. Choi

One of the modalities in EHRs, clinical notes, has not been fully explored for these tasks due to its unstructured and inexplicable nature.

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