Sungrim Moon

According to our database, Sungrim Moon authored at least 47 papers between 2010 and 2024.

Collaborative distances:

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

2024

FedFSA: Hybrid and federated framework for functional status ascertainment across institutions.

Sunyang Fu, Heling Jia, Maria Vassilaki, Vipina Kuttichi Keloth, Yifang Dang, Yujia Zhou, Muskan Garg, Ronald C. Petersen, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Andrew Wen, Fang Li, Hua Xu, Cui Tao, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

J. Biomed. Informatics, 2024

Aligning Orphanet Classification to Identify Disease Characteristics among Rare Disease Clusters.

Sungrim Moon, Jessica Maine, Ewy A. Mathé, Qian Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2022

Computational drug repurposing based on electronic health records: a scoping review.

Nansu Zong, Andrew Wen, Sungrim Moon, Sunyang Fu, Liwei Wang, Yiqing Zhao, Yue Yu, Ming Huang, Yanshan Wang, Gang Zheng, Michelle M. Mielke, James R. Cerhan, Hongfang Liu

npj Digit. Medicine, 2022

A scoping review of medical practice variation research within the informatics literature.

Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, J. Wilfred Fan

Int. J. Medical Informatics, 2022

Quality assessment of functional status documentation in EHRs across different healthcare institutions.

Sunyang Fu, Maria Vassilaki, Omar A. Ibrahim, Ronald C. Petersen, Sandeep R. Pagali, Jennifer St Sauver, Sungrim Moon, Liwei Wang, Jungwei Fan, Hongfang Liu, Sunghwan Sohn

Frontiers Digit. Health, 2022

RxWhyQA: a clinical question-answering dataset with the challenge of multi-answer questions.

Sungrim Moon, Huan He, Hongfang Liu, Jungwei Fan

CoRR, 2022

Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing.

Liwei Wang, Sunyang Fu, Andrew Wen, Xiaoyang Ruan, Huan He, Sijia Liu, Sungrim Moon, Michelle Mai, Irbaz Bin Riaz, Nan Wang, Ping Yang, Hua Xu, Jeremy L. Warner, Hongfang Liu

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Effects of Information Masking in the Task-Specific Finetuning of a Transformers-Based Clinical Question-Answering Framework.

Sungrim Moon, Huan He, Jungwei Fan

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

Sublanguage Characteristics of Clinical Documents.

Sungrim Moon, Huan He, Hongfang Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Annotation Enhancement of Synthetic Family History Corpus.

Liwei Wang, Sungrim Moon, Sicheng Zhou, Huan He, Hongfang Liu

Proceedings of the AMIA 2022, 2022

Mapping Family History Information from Clinical Narratives to Ontologies or Terminological Resources.

Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu

Proceedings of the AMIA 2022, 2022

Bridging the Granularity Gap in Family History Information Extracted from Clinical Narratives.

Sungrim Moon, Liwei Wang, Xuan Chen, Nan Wang, Sheila Manemann, Nicholas B. Larson, Suzette J. Bielinski, Hongfang Liu

Proceedings of the AMIA 2022, 2022

Towards User-centered Corpus Development: Lessons Learnt from Designing and Developing MedTator.

Huan He, Sunyang Fu, Liwei Wang, Andrew Wen, Sijia Liu, Sungrim Moon, Kurt Miller, Hongfang Liu

Proceedings of the AMIA 2022, 2022

2021

A Scoping Review of Informatics Research for Clinical Practice Variation.

Sunghwan Sohn, Sungrim Moon, Larry J. Prokop, Victor M. Montori, Jungwei Fan

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Development of a Clinical Question-Answering Corpus with Realistic Multi-Answer Challenges.

Sungrim Moon, Huan He, Jungwei Fan

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Clinical concept extraction: A methodology review.

Sunyang Fu, David Chen, Huan He, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Liwei Wang, Yanshan Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu

J. Biomed. Informatics, 2020

A Deep Profiling and Visualization Framework to Audit Clinical Assessment Variation.

Andrew Wen, Feichen Shen, Sungrim Moon, Hongfang Liu, Jungwei Fan

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

A Perturbation Approach to Assessing BERT Robustness for Different Linguistic Aspects in Medical Question-Answering.

Mohamed Y. Elwazir, Andrew Wen, Sungrim Moon, Jungwei Fan

Proceedings of the AMIA 2020, 2020

Predicting Section Location of Clinical Sentences using BERT Encoder - A Pilot Study.

Sijia Liu, Sunyang Fu, Sungrim Moon, Andrew Wen, Hongfang Liu

Proceedings of the AMIA 2020, 2020

How You Ask Matters: The Effect of Paraphrastic Questions to BERT Performance on a Clinical SQuAD Dataset.

Sungrim Moon, Jungwei Fan

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Desiderata for delivering NLP to accelerate healthcare AI advancement and a Mayo Clinic NLP-as-a-service implementation.

Andrew Wen, Sunyang Fu, Sungrim Moon, Mohamed El Wazir, Andrew Rosenbaum, Vinod C. Kaggal, Sijia Liu, Sunghwan Sohn, Hongfang Liu, Jungwei Fan

npj Digit. Medicine, 2019

Salience of Medical Concepts of Inside Clinical Texts and Outside Medical Records for Referred Cardiovascular Patients.

Sungrim Moon, Sijia Liu, David Chen, Yanshan Wang, Douglas L. Wood, Rajeev Chaudhry, Hongfang Liu, Paul R. Kingsbury

J. Heal. Informatics Res., 2019

Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing.

Sungrim Moon, Sijia Liu, Christopher Scott, Sujith Samudrala, Mohamed M. Abidian, Jeffrey B. Geske, Peter A. Noseworthy, Jane L. Shellum, Rajeev Chaudhry, Steve Ommen, Rick Nishimura, Hongfang Liu, Adelaide M. Arruda-Olson

Int. J. Medical Informatics, 2019

Adapting and evaluating a deep learning language model for clinical why-question answering.

Andrew Wen, Mohamed Y. Elwazir, Sungrim Moon, Jungwei Fan

CoRR, 2019

Development of Clinical Concept Extraction Applications: A Methodology Review.

Sunyang Fu, David Chen, Sijia Liu, Sungrim Moon, Kevin J. Peterson, Feichen Shen, Yanshan Wang, Liwei Wang, Andrew Wen, Yiqing Zhao, Sunghwan Sohn, Hongfang Liu

CoRR, 2019

Adaptation of a Natural Language Processing Algorithm Following Implementation of a New Electronic Health Record.

Sungrim Moon, Vinod Kaggal, Sunghwan Sohn, Hongfang Liu, Rajeev Chaudhry, Adelaide M. Arruda-Olson

Proceedings of the AMIA 2019, 2019

Usability Evaluation of a Clinical Decision Support Tool for Management of Peripheral Artery Disease Patients.

Alisha Chaudhry, Sungrim Moon, Vinod Kaggal, Paul Wennberg, Thom Rooke, David Liedl, Christopher Scott, Ana Casanegra, Iftikhar J. Kullo, Robert McBane, Jane L. Shellum, Rick Nishimura, Rajeev Chaudhry, Hongfang Liu, Adelaide M. Arruda-Olson

Proceedings of the AMIA 2019, 2019

2018

Modeling asynchronous event sequences with RNNs.

Stephen T. Wu, Sijia Liu, Sunghwan Sohn, Sungrim Moon, Chung-Il Wi, Young J. Juhn, Hongfang Liu

J. Biomed. Informatics, 2018

Clinical information extraction applications: A literature review.

Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, Hongfang Liu

J. Biomed. Informatics, 2018

Leveraging Electronic Health Records for Identification of Features Associated with Sudden Death for Hypertrophic Cardiomyopathy Patients.

Sungrim Moon, Sijia Liu, Sujith Samudrala, Jane L. Shellum, Jeffrey B. Geske, Peter A. Noseworthy, Steve Ommen, Rajeev Chaudhry, Rick Nishimura, Hongfang Liu, Adelaide M. Arruda-Olson

Proceedings of the AMIA 2018, 2018

Leveraging the Electronic Health Record to Create an Automated Real-time Prognostic Tool for Peripheral Arterial Disease.

Adelaide M. Arruda-Olson, Naveed Afzal, Vishnu Priya Mallipeddi, Ahmad Said, Homam Moussa Pacha, Sungrim Moon, Alisha Chaudhry, Christopher Scott, Kent Bailey, Vinod Kaggal, Gustavo Oderich, Iftikhar J. Kullo, Rick Nishimura, Rajeev Chaudhry, Hongfang Liu

Proceedings of the AMIA 2018, 2018

2017

An active learning-enabled annotation system for clinical named entity recognition.

Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny, Hua Xu

BMC Medical Informatics Decis. Mak., 2017

Medical concept intersection between outside medical records and consultant notes: A case study in transferred cardiovascular patients.

Sungrim Moon, Sijia Liu, Paul R. Kingsbury, David Chen, Yanshan Wang, Feichen Shen, Rajeev Chaudhry, Hongfang Liu

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Bayesian Prediction of Asthma Exacerbation in Children.

Sunghwan Sohn, Young J. Juhn, Sungrim Moon, Chung-Il Wi, Katherine S. King, Euijung Ryu, Hongfang Liu

Proceedings of the AMIA 2017, 2017

Distinction between medical and non-medical usages of short forms in clinical narratives.

Sungrim Moon, Donna M. Ihrke, Yuqun Zeng, Hongfang Liu

Proceedings of the AMIA 2017, 2017

2016

UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes.

Hee-Jin Lee, Hua Xu, Jingqi Wang, Yaoyun Zhang, Sungrim Moon, Jun Xu, Yonghui Wu

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

A Study of Active Learning for Document Selection in Clinical Named Entity Recognition.

Qiang Wei, Yukun Chen, Sungrim Moon, Trevor Cohen, Hua Xu

Proceedings of the AMIA 2016, 2016

Semantic Relatedness and Similarity between Biomedical Concepts.

Sungrim Moon, Trevor Cohen, Hua Xu

Proceedings of the AMIA 2016, 2016

Applying Active Learning to Clinical Abbreviation Disambiguation in Real Time.

Sungrim Moon, Yukun Chen, Jingqi Wang, Joshua C. Denny, S. Trent Rosenbloom, Ky Nguyen, Tolulola Dawodu, Hua Xu

Proceedings of the AMIA 2016, 2016

2015

Real Time Active Learning Study for Clinical Named Entity Recognition.

Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu

Proceedings of the AMIA 2015, 2015

2014

A sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resources.

Sungrim Moon, Serguei V. S. Pakhomov, Nathan Liu, James O. Ryan, Genevieve B. Melton

J. Am. Medical Informatics Assoc., 2014

A study of synonym extraction from clinical texts using semantic vector models.

Sungrim Moon, Trevor Cohen, Hua Xu

Proceedings of the AMIA 2014, 2014

Applying Active Learning to Word Sense Disambiguation in a Real-Time Setting.

Sungrim Moon, Yukun Chen, Jingqi Wang, Joshua C. Denny, Hua Xu

Proceedings of the AMIA 2014, 2014

2013

Clinical Acronym/Abbreviation Normalization using a Hybrid Approach.

Yonghui Wu, Buzhou Tang, Min Jiang, Sungrim Moon, Joshua C. Denny, Hua Xu

Proceedings of the Working Notes for CLEF 2013 Conference , 2013

Word Sense Disambiguation of Clinical Abbreviations with Hyperdimensional Computing.

Sungrim Moon, Bjoern-Toby Berster, Hua Xu, Trevor Cohen

Proceedings of the AMIA 2013, 2013

2012

Automated Disambiguation of Acronyms and Abbreviations in Clinical Texts: Window and Training Size Considerations.

Sungrim Moon, Serguei V. S. Pakhomov, Genevieve B. Melton

Proceedings of the AMIA 2012, 2012

2010

Automated Identification of Synonyms in Biomedical Acronym Sense Inventories.

Genevieve B. Melton, Sungrim Moon, Bridget T. McInnes, Serguei Pakhomov

Proceedings of the Second Louhi Workshop on Text and Data Mining of Health Documents, 2010