Sohn, Sunghwan

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

Savova, G. K., Masanz, J. J., Ogren, P. V., Zheng, J., Sohn, S., Kipper-Schuler, K. C., & Chute, C. G. (2010) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 1,967

Clinical information extraction applications: A literature review

Wang, Y., Wang, L., Rastegar-Mojarad, M., Moon, S., Shen, F., Afzal, N., Liu, S., Zeng, Y., Mehrabi, S., Sohn, S., et al. (2018) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 910

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

Wen, A., Fu, S., Moon, S., El Wazir, M., Rosenbaum, A., Kaggal, V. C., Liu, S., Sohn, S., Liu, H., & Fan, J. (2019) · npj Digital Medicine

Biomedical Text Mining and OntologiesArtificial Intelligence in Healthcare and Education

Cited by 142

Mining peripheral arterial disease cases from narrative clinical notes using natural language processing

Afzal, N., Sohn, S., Abram, S., Scott, C. G., Chaudhry, R., Liu, H., Kullo, I. J., & Arruda-Olson, A. M. (2017) · Journal of Vascular Surgery

Peripheral Artery Disease ManagementBiomedical Text Mining and Ontologies

Cited by 103

Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review

Wi, C.-I., Sohn, S., Rolfes, M. C., Seabright, A., Ryu, E., Voge, G., Bachman, K. A., Park, M. A., Kita, H., Croghan, I. T., et al. (2017) · American Journal of Respiratory and Critical Care Medicine

Asthma and respiratory diseasesMedical Coding and Health Information

Cited by 88

Assessing Socioeconomic Bias in Machine Learning Algorithms in Health Care: A Case Study of the HOUSES Index

Juhn, Y. J., Ryu, E., Wi, C.-I., King, K. S., Malik, M., Romero-Brufau, S., Weng, C., Sohn, S., Sharp, R. R., & Halamka, J. D. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 83

Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial

Seol, H. Y., Shrestha, P., Muth, J. F., Wi, C.-I., Sohn, S., Ryu, E., Park, M., Ihrke, K., Moon, S., King, K., et al. (2021) · PLOS ONE

Asthma and respiratory diseasesElectronic Health Records Systems

Cited by 82

Natural language processing for asthma ascertainment in different practice settings

Wi, C.-I., Sohn, S., Ali, M., Krusemark, E., Ryu, E., Liu, H., & Juhn, Y. J. (2018) · The Journal of Allergy and Clinical Immunology In Practice

Asthma and respiratory diseasesMedical Coding and Health Information

Cited by 62

Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification

Sohn, S., Wagholikar, K. B., Li, D., Jonnalagadda, S. R., Tao, C., Komandur Elayavilli, R., & Liu, H. (2013) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 62

Modeling asynchronous event sequences with RNNs

Wu, S., Liu, S., Sohn, S., Moon, S., Wi, C.-I., Juhn, Y., & Liu, H. (2018) · Journal of Biomedical Informatics

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 45

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

Fu, S., Jia, H., Vassilaki, M., Keloth, V. K., Dang, Y., Zhou, Y., Garg, M., Petersen, R. C., St Sauver, J., Moon, S., et al. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 17

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

Fu, S., Vassilaki, M., Ibrahim, O. A., Petersen, R. C., Pagali, S., St Sauver, J., Moon, S., Wang, L., Fan, J. W., Liu, H., et al. (2022) · Frontiers in Digital Health

Electronic Health Records SystemsNursing Diagnosis and Documentation

Cited by 15

Mobility functional status ascertainment in electronic health records using large language models

Liu, X., Garg, M., Jia, H., Sauver, J. S., Pagali, S. R., & Sohn, S. (2026) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 2