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

WS 2020 Liyan XuJulien HoganRachel E. PatzerJinho 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. We face the challenges of developing robust models on a small dataset where each document may consist of over 10K tokens with full of noise including tabular text and task-irrelevant sentences... (read more)

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