Hyunwoo Sohn

College of Engineering

Works (1)

Updated: April 11th, 2023 10:13

2020 article

MuLan: Multilevel Language-based Representation Learning for Disease Progression Modeling

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 1246–1255.

By: H. Sohn n, K. Park n & M. Chi n

author keywords: Electronic health records; disease progression modeling; interpretability; representation learning
TL;DR: This work presents MuLan: a Multilevel Language-based representation learning framework that can automatically learn a hierarchical representation for EHRs at entry, event, and visit levels and demonstrates that these unified multilevel representations can be utilized for interpreting and visualizing the latent mechanism of patients’ septic shock progressions. (via Semantic Scholar)
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Source: Web Of Science
Added: July 26, 2021

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