Moon, Sungrim

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

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

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