1262-P: developing a computable phenotype algorithm for identification of children and adolescents with diabetes using electronic health records P Li, E Spector, K Alkhuzam, RS Patel, WT Donahoo, S Bost, T Lyu, Y Wu, ... Diabetes 71 (Supplement_1), 2022 | 3 | 2022 |
483-P: Heterogeneous Treatment Effects of Metformin on the Risk of Dementia in People with Type 2 Diabetes—A Longitudinal Observational Study H TANG, J GUO, C ELIZABETH SHAABAN, Z FENG, Y WU, T MAGOC, ... Diabetes 72 (Supplement_1), 2023 | | 2023 |
894-P: Sodium–Glucose Cotransporter 2 Inhibitors and Risk of Dementia in People with Type 2 Diabetes—A Population-Based Cohort Study H TANG, C ELIZABETH SHAABAN, Y WU, T MAGOC, WT DONAHOO, ... Diabetes 72 (Supplement_1), 2023 | | 2023 |
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 | 84 | 2012 |
A comparative study of different methods for automatic identification of clopidogrel-induced bleedings in electronic health records HJ Lee, M Jiang, Y Wu, CM Shaffer, JH Cleator, EA Friedman, JP Lewis, ... AMIA Summits on Translational Science Proceedings 2017, 185, 2017 | 5 | 2017 |
A comparative study of topic models for topic clustering of Chinese web news Y Wu, Y Ding, X Wang, J Xu 2010 3rd International Conference on Computer Science and Information …, 2010 | 26 | 2010 |
A comparison of conditional random fields and structured support vector machines for chemical entity recognition in biomedical literature B Tang, Y Feng, X Wang, Y Wu, Y Zhang, M Jiang, J Wang, H Xu Journal of cheminformatics 7, 1-6, 2015 | 38 | 2015 |
A Computable Phenotype for the Identification of Sexual and Gender Minorities in Electronic Health Records Y Li, X He, C Wheldon, Y Wu, M Prosperi, EA Shenkman, MS Jaffee, ... AMIA Annual Symposium Proceedings 2023, 1057, 2023 | | 2023 |
A hybrid approach to automatic de-identification of psychiatric notes HJ Lee, Y Wu, Y Zhang, J Xu, H Xu, K Roberts Journal of biomedical informatics 75, S19-S27, 2017 | 41 | 2017 |
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 | 144 | 2013 |
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 | 268* | 2022 |
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 | 85 | 2017 |
A natural language processing tool to extract quantitative smoking status from clinical narratives X Yang, H Yang, T Lyu, S Yang, Y Guo, J Bian, H Xu, Y Wu 2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-2, 2020 | 11 | 2020 |
A New Clustering Method for Detecting Rare Senses of Abbreviations in Clinical Notes H Xu, Y Wu, N Elhadad, PD Stetson, C Friedman Journal of Biomedical Informatics, 2012 | 21 | 2012 |
A preliminary study of clinical abbreviation disambiguation in real time Y Wu, JC Denny, ST Rosenbloom, RA Miller, DA Giuse, M Song, H Xu Applied clinical informatics 6 (02), 364-374, 2015 | 21 | 2015 |
A Preliminary Study of Extracting Pulmonary Nodules and Nodule Characteristics from Radiology Reports Using Natural Language Processing S Yang, X Yang, T Lyu, X He, D Braithwaite, HJ Mehta, Y Guo, Y Wu, ... 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022 | 1 | 2022 |
A prototype application for real-time recognition and disambiguation of clinical abbreviations Y Wu, J Denny, ST Rosenbloom, RA Miller, DA Giuse, M Song, H Xu Proceedings of the 7th international workshop on Data and text mining in …, 2013 | 8 | 2013 |
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 | 77 | 2019 |
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 | 124 | 2018 |
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 | 52 | 2023 |