| A large language model for electronic health records X Yang, A Chen, N PourNejatian, HC Shin, KE Smith, C Parisien, ... NPJ digital medicine 5 (1), 194, 2022 | 454* | 2022 |
| CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines E Soysal, J Wang, M Jiang, Y Wu, S Pakhomov, H Liu, H Xu Journal of the American Medical Informatics Association 25 (3), 331-336, 2018 | 401 | 2018 |
| Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012 | 309 | 2012 |
| Named entity recognition in Chinese clinical text using deep neural network Y Wu, M Jiang, J Lei, H Xu MEDINFO 2015: eHealth-enabled Health, 624-628, 2015 | 219 | 2015 |
| Evaluation of machine-learning algorithms for predicting opioid overdose risk among medicare beneficiaries with opioid prescriptions WH Lo-Ciganic, JL Huang, HH Zhang, JC Weiss, Y Wu, CK Kwoh, ... JAMA network open 2 (3), e190968-e190968, 2019 | 213 | 2019 |
| Clinical named entity recognition using deep learning models Y Wu, M Jiang, J Xu, D Zhi, H Xu AMIA annual symposium proceedings 2017, 1812, 2017 | 163 | 2017 |
| Clinical concept extraction using transformers X Yang, J Bian, WR Hogan, Y Wu Journal of the American Medical Informatics Association 27 (12), 1935-1942, 2020 | 155 | 2020 |
| A hybrid system for temporal information extraction from clinical text B Tang, Y Wu, M Jiang, Y Chen, JC Denny, H Xu Journal of the American Medical Informatics Association 20 (5), 828-835, 2013 | 150 | 2013 |
| Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features B Tang, H Cao, Y Wu, M Jiang, H Xu BMC medical informatics and decision making 13, 1-10, 2013 | 145 | 2013 |
| Extracting social determinants of health from electronic health records using natural language processing: a systematic review BG Patra, MM Sharma, V Vekaria, P Adekkanattu, OV Patterson, ... Journal of the American Medical Informatics Association 28 (12), 2716-2727, 2021 | 144 | 2021 |
| A Study of Generative Large Language Model for Medical Research and Healthcare C Peng, X Yang, A Chen, KE Smith, N PourNejatian, AB Costa, C Martin, ... NPJ Digital Medicine 6 (1), 1-10, 2023 | 141 | 2023 |
| A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set L Rasmy, Y Wu, N Wang, X Geng, WJ Zheng, F Wang, H Wu, H Xu, D Zhi Journal of biomedical informatics 84, 11-16, 2018 | 138 | 2018 |
| A study of neural word embeddings for named entity recognition in clinical text Y Wu, J Xu, M Jiang, Y Zhang, H Xu AMIA annual symposium proceedings 2015, 1326, 2015 | 133 | 2015 |
| Clinical abbreviation disambiguation using neural word embeddings Y Wu, J Xu, Y Zhang, H Xu Proceedings of BioNLP 15, 171-176, 2015 | 129 | 2015 |
| A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD) Y Wu, JC Denny, S Trent Rosenbloom, RA Miller, DA Giuse, L Wang, ... Journal of the American Medical Informatics Association 24 (e1), e79-e86, 2017 | 93 | 2017 |
| A comparative study of current clinical natural language processing systems on handling abbreviations in discharge summaries Y Wu, JC Denny, ST Rosenbloom, RA Miller, DA Giuse, H Xu AMIA annual symposium proceedings 2012, 997, 2012 | 86 | 2012 |
| A study of deep learning methods for de-identification of clinical notes in cross-institute settings X Yang, T Lyu, Q Li, CY Lee, J Bian, WR Hogan, Y Wu BMC medical informatics and decision making 19, 1-9, 2019 | 85 | 2019 |
| CD-REST: a system for extracting chemical-induced disease relation in literature J Xu, Y Wu, Y Zhang, J Wang, HJ Lee, H Xu Database 2016, baw036, 2016 | 85 | 2016 |
| Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data J Bian, T Lyu, A Loiacono, TM Viramontes, G Lipori, Y Guo, Y Wu, ... Journal of the American Medical Informatics Association 27 (12), 1999-2010, 2020 | 81 | 2020 |
| Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: a machine-learning … DS Lindberg, M Prosperi, RI Bjarnadottir, J Thomas, M Crane, Z Chen, ... International journal of medical informatics 143, 104272, 2020 | 79 | 2020 |
Jiang BianHealth Outcomes & Biomedical Informatics, University of FloridaVerified email at ufl.edu
