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arXiv · 1910.00861

Clinical Text Generation through Leveraging Medical Concept and Relations

Wangjin Lee·Hyeryun Park·Jooyoung Yoon·Kyeongmo Kim·Jinwook Choi
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Abstract

With a neural sequence generation model, this study aims to develop a method of writing the patient clinical texts given a brief medical history. As a proof-of-a-concept, we have demonstrated that it can be workable to use medical concept embedding in clinical text generation. Our model was based on the Sequence-to-Sequence architecture and trained with a large set of de-identified clinical text data. The quantitative result shows that our concept embedding method decreased the perplexity of the baseline architecture. Also, we discuss the analyzed results from a human evaluation performed by medical doctors.

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Wangjin Lee, Hyeryun Park, Jooyoung Yoon, Kyeongmo Kim, Jinwook Choi. 2019-10-02. Clinical Text Generation through Leveraging Medical Concept and Relations. https://arxiv.org/abs/1910.00861

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