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2020 – today
- 2022
[j5]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:
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. J. Am. Medical Informatics Assoc. 29(7): 1142-1151 (2022)- [c10]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, Chung-Il Wi, Bjorn Nordlund, Young J. Juhn:
Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma. AMIA 2022 - [c9]Euijung Ryu, Katherine S. King, Sunghwan Sohn, Chung-Il Wi, Momin M. Malik, Richard R. Sharp, John D. Halamka, Young J. Juhn:
The role of individual-level socioeconomic status on bias of machine learning algorithm. AMIA 2022 - 2021
- [j4]Jungwon Yoon, Heather Billings, Chung-Il Wi, Elissa Hall, Sunghwan Sohn, Jung Hyun Kwon, Euijung Ryu, Pragya Shrestha, Hongfang Liu, Young J. Juhn:
Establishing an expert consensus for the operational definitions of asthma-associated infectious and inflammatory multimorbidities for computational algorithms through a modified Delphi technique. BMC Medical Informatics Decis. Mak. 21(1): 310 (2021) - [j3]Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
Identification of asthma control factor in clinical notes using a hybrid deep learning model. BMC Medical Informatics Decis. Mak. 21-S(7): 272 (2021) - 2020
- [c8]Elham Sagheb, Jungwon Yoon, Chung-Il Wi, Pragya Shrestha, Euijung Ryu, Miguel Park, Barbara P. Yawn, Hongfang Liu, Young J. Juhn, Sunghwan Sohn:
Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting. AMIA 2020 - [c7]Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young J. Juhn, Sunghwan Sohn:
Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes. BIBM 2020: 1736-1739
2010 – 2019
- 2018
- [j2]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions. J. Am. Medical Informatics Assoc. 25(3): 353-359 (2018) - [j1]Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu:
Modeling asynchronous event sequences with RNNs. J. Biomed. Informatics 83: 167-177 (2018) - 2017
- [c6]Sunghwan Sohn, Young J. Juhn, Sungrim Moon, Chung-Il Wi, Katherine S. King, Euijung Ryu, Hongfang Liu:
Bayesian Prediction of Asthma Exacerbation in Children. AMIA 2017 - [c5]Sunghwan Sohn, Chung-Il Wi, Young J. Juhn, Hongfang Liu:
Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians. MedInfo 2017: 1170-1174 - 2016
- [c4]Sunghwan Sohn, Yanshan Wang, Chung-Il Wi, Elizabeth A. Krusemark, Euijung Ryu, Mir H. Ali, Young J. Juhn, Hongfang Liu:
Asthma Ascertainment NLP System Portability across Institutions. AMIA 2016 - [c3]Stephen T. Wu, Yanshan Wang, Sunghwan Sohn, Chung-Il Wi, Elizabeth A. Krusemark, Hongfang Liu, Young J. Juhn:
Probabilistic Population-level Modeling of Disease Event Timelines. AMIA 2016 - [c2]Sunghwan Sohn, Young J. Juhn, Chung-Il Wi, Euijung Ryu, Hongfang Liu:
Ascertaining Asthma Predictive Index through Natural Language Processing. CRI 2016 - [c1]Stephen T. Wu, Chung-Il Wi, Sunghwan Sohn, Hongfang Liu, Young J. Juhn:
Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events. LREC 2016
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