Joo Heung Yoon

According to our database, Joo Heung Yoon authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mind the Missing: Variable-Aware Representation Learning for Irregular EHR Time Series using Large Language Models.

Jeong Eul Kwon, Joo Heung Yoon, Hyo Kyung Lee

CoRR, September, 2025

2024

Utility of Multimodal Large Language Models in Analyzing Chest X-ray with Incomplete Contextual Information.

Choonghan Kim, Seonhee Cho, Joo Heung Yoon

CoRR, 2024

Simplifying Multimodality: Unimodal Approach to Multimodal Challenges in Radiology with General-Domain Large Language Model.

Seonhee Cho, Choonghan Kim, Jiho Lee, Chetan Chilkunda, Sujin Choi, Joo Heung Yoon

CoRR, 2024

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.

Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu

CoRR, 2024

2023

An interactive and realistic phantom for cricothyroidotomy simulation of a patient with obesity through a reusable design using 3D-printing and Arduino.

Junhyeok Ock, Dayeong Hong, Sojin Moon, Yong-Seok Park, Dong-Woo Seo, Joo Heung Yoon, Sung-Hoon Kim, Namkug Kim

Comput. Methods Programs Biomed., May, 2023

2022

Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact.

Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski

Proceedings of the AMIA 2022, 2022

2021

Understanding Clinical Collaborations Through Federated Classifier Selection.

Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski

Proceedings of the Machine Learning for Healthcare Conference, 2021