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)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: July 26, 2021

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2025) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.