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25 April 2024

» arxiv » 1811.8040

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Unsupervised Pseudo-Labeling for Extractive Summarization on Electronic Health Records
Xiangan Liu ; Keyang Xu ; Pengtao Xie ; Eric Xing ;
Date:	26 Nov 2018
Abstract:	Extractive summarization is very useful for physicians to better manage and digest Electronic Health Records (EHRs). However, the training of a supervised model requires disease-specific medical background and is thus very expensive. We studied how to utilize the intrinsic correlation between multiple EHRs to generate pseudo-labels and train a supervised model with no external annotation. Experiments on real-patient data validate that our model is effective in summarizing crucial disease-specific information for patients.
Source:	arXiv, 1811.8040
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