Asthma Ascertainment NLP System Portability across Institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (AMIA, 2016)

Probabilistic Population-level Modeling of Disease Event Timelines. - Stephen T. Wu; Yanshan Wang; Sunghwan Sohn; Chung-Il Wi; Elizabeth A. Krusemark; Hongfang Liu; Young J. Juhn (AMIA, 2016)

Ascertaining Asthma Predictive Index through Natural Language Processing. - Sunghwan Sohn; Young J. Juhn; Chung-Il Wi; Euijung Ryu; Hongfang Liu (CRI, 2016)

Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. - Stephen T. Wu; Chung-Il Wi; Sunghwan Sohn; Hongfang Liu; Young J. Juhn (LREC, 2016)

Bayesian Prediction of Asthma Exacerbation in Children. - Sunghwan Sohn; Young J. Juhn; Sungrim Moon; Chung-Il Wi; Katherine S. King; Euijung Ryu; Hongfang Liu (AMIA, 2017)

Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. - Sunghwan Sohn; Chung-Il Wi; Young J. Juhn; Hongfang Liu (MedInfo, 2017)

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. - Sunghwan Sohn; Yanshan Wang; Chung-Il Wi; Elizabeth A. Krusemark; Euijung Ryu; Mir H. Ali; Young J. Juhn; Hongfang Liu (J. Am. Medical Informatics Assoc., 2018)

Modeling asynchronous event sequences with RNNs. - Stephen T. Wu; Sijia Liu 002; Sunghwan Sohn; Sungrim Moon; Chung-Il Wi; Young J. Juhn; Hongfang Liu (J. Biomed. Informatics, 2018)

Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. - Elham Sagheb; Jungwon Yoon; Chung-Il Wi; Pragya Shrestha; Euijung Ryu; Miguel Park; Barbara P. Yawn; Hongfang Liu; Young J. Juhn; Sunghwan Sohn (AMIA, 2020)

Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. - Bhavani Singh Agnikula Kshatriya; Elham Sagheb; Chung-Il Wi; Jungwon Yoon; Hee Yun Seol; Young J. Juhn; Sunghwan Sohn (BIBM, 2020)

Identification of asthma control factor in clinical notes using a hybrid deep learning model. - Bhavani Singh Agnikula Kshatriya; Elham Sagheb; Chung-Il Wi; Jungwon Yoon; Hee Yun Seol; Young J. Juhn; Sunghwan Sohn (BMC Medical Informatics Decis. Mak., 2021)

Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. - Jungwon Yoon; Heather Billings; Chung-Il Wi; Elissa Hall; Sunghwan Sohn; Jung Hyun Kwon; Euijung Ryu; Pragya Shrestha; Hongfang Liu; Young J. Juhn (BMC Medical Informatics Decis. Mak., 2021)

Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma. - Lynnea Myers; Shauna M. Overgaard; Tracey Brereton; Jason Greenwood; Lu Zheng; Joshua Ohde; Matthew Spiten; Kathy Ihrke; Kevin Peterson; Ashwani Khurana; Euijung Ryu; Madison Roy; et al. (AMIA, 2022)

The role of individual-level socioeconomic status on bias of machine learning algorithm. - Euijung Ryu; Katherine S. King; Sunghwan Sohn; Chung-Il Wi; Momin M. Malik; Richard R. Sharp; John D. Halamka; Young J. Juhn (AMIA, 2022)

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. - Young J. Juhn; Euijung Ryu; Chung-Il Wi; Katherine S. King; Momin M. Malik; Santiago Romero-Brufau; Chunhua Weng; Sunghwan Sohn; Richard R. Sharp; John D. Halamka (J. Am. Medical Informatics Assoc., 2022)

LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation. - Xiaodi Li; Shaika Chowdhury; Chung-Il Wi; Maria Vassilaki; Xiaoke Liu; Terence T. Sio; Owen Garrick; Young J. Juhn; James R. Cerhan; Cui Tao; Nansu Zong (CoRR, 2025)