Young J. Juhn

Orcid: 0000-0003-2112-4240

According to our database1, Young J. Juhn authored at least 17 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index.
J. Am. Medical Informatics Assoc., 2022

The role of individual-level socioeconomic status on bias of machine learning algorithm.
Proceedings of the AMIA 2022, 2022

Comprehensive Evaluation of Health Impact of an ML-Based CDS Solution Integrated with Remote Device: Protocol for RCT in Children with Asthma.
Proceedings of the AMIA 2022, 2022

2021
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., 2021

Identification of asthma control factor in clinical notes using a hybrid deep learning model.
BMC Medical Informatics Decis. Mak., 2021

2020
Deep Learning Identification of Asthma Inhaler Techniques in Clinical Notes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Assessing Clinician's Adherence to Asthma Guidelines for Asthma Control Status using Natural Language Processing in a Primary Care Setting.
Proceedings of the AMIA 2020, 2020

2018
Modeling asynchronous event sequences with RNNs.
J. Biomed. Informatics, 2018

Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions.
J. Am. Medical Informatics Assoc., 2018

2017
Analysis of Clinical Variations in Asthma Care Documented in Electronic Health Records Between Staff and Resident Physicians.
Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

Bayesian Prediction of Asthma Exacerbation in Children.
Proceedings of the AMIA 2017, 2017

2016
Staggered NLP-assisted refinement for Clinical Annotations of Chronic Disease Events.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Ascertaining Asthma Predictive Index through Natural Language Processing.
Proceedings of the Summit on Clinical Research Informatics, 2016

Probabilistic Population-level Modeling of Disease Event Timelines.
Proceedings of the AMIA 2016, 2016

Asthma Ascertainment NLP System Portability across Institutions.
Proceedings of the AMIA 2016, 2016

2014
Research and applications: Patient-level temporal aggregation for text-based asthma status ascertainment.
J. Am. Medical Informatics Assoc., 2014

2012
Asthma Status Identification with Natural Language Processing.
Proceedings of the AMIA 2012, 2012


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