| Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python H Eyre, AB Chapman, KS Peterson, J Shi, PR Alba, MM Jones, TL Box, ... AMIA Annual Symposium Proceedings 2021, 438, 2021 | 67 | 2021 |
| Portable automated surveillance of surgical site infections using natural language processing: development and validation BT Bucher, J Shi, JP Ferraro, DE Skarda, MH Samore, JF Hurdle, ... Annals of surgery 272 (4), 629-636, 2020 | 29 | 2020 |
| Using natural language processing to improve EHR structured data-based surgical site infection surveillance J Shi, S Liu, LCC Pruitt, CL Luppens, JP Ferraro, AV Gundlapalli, ... AMIA Annual Symposium Proceedings 2019, 794, 2019 | 22 | 2019 |
| Determination of marital status of patients from structured and unstructured electronic healthcare data BT Bucher, J Shi, RJ Pettit, J Ferraro, WW Chapman, A Gundlapalli AMIA Annual Symposium Proceedings 2019, 267, 2019 | 21 | 2019 |
| Trie-based rule processing for clinical NLP: A use-case study of n-trie, making the ConText algorithm more efficient and scalable J Shi, JF Hurdle Journal of biomedical informatics 85, 106-113, 2018 | 20 | 2018 |
| A method for the development of disease-specific reference standards vocabularies from textual biomedical literature resources L Wang, BE Bray, J Shi, G Del Fiol, PJ Haug Artificial intelligence in medicine 68, 47-57, 2016 | 19 | 2016 |
| Extracting intrauterine device usage from clinical texts using natural language processing J Shi, D Mowery, M Zhang, J Sanders, W Chapman, L Gawron 2017 IEEE International Conference on Healthcare Informatics (ICHI), 568-571, 2017 | 14 | 2017 |
| A comparison of natural language processing to ICD-10 codes for identification and characterization of pulmonary embolism SA Johnson, EA Signor, KL Lappe, J Shi, SL Jenkins, SW Wikstrom, ... Thrombosis Research 203, 190-195, 2021 | 12 | 2021 |
| Automatic identification of recent high impact clinical articles in PubMed to support clinical decision making using time-agnostic features J Bian, S Abdelrahman, J Shi, G Del Fiol Journal of biomedical informatics 89, 1-10, 2019 | 12 | 2019 |
| Natural language processing for the surveillance of postoperative venous thromboembolism J Shi, JF Hurdle, SA Johnson, JP Ferraro, DE Skarda, SRG Finlayson, ... Surgery 170 (4), 1175-1182, 2021 | 11 | 2021 |
| RuSH: a Rule-based Segmentation Tool Using Hashing for Extremely Accurate Sentence Segmentation of Clinical Text. J Shi, DL Mowery, KM Doing-Harris, JF Hurdle AMIA, 2016 | 8 | 2016 |
| GARDE: a standards-based clinical decision support platform for identifying population health management cohorts RL Bradshaw, K Kawamoto, KA Kaphingst, WK Kohlmann, R Hess, ... Journal of the American Medical Informatics Association 29 (5), 928-936, 2022 | 6 | 2022 |
| Identifying patients who meet criteria for genetic testing of hereditary cancers based on structured and unstructured family health history data in the electronic health record … J Shi, KL Morgan, RL Bradshaw, SH Jung, W Kohlmann, KA Kaphingst, ... JMIR Medical Informatics 10 (8), e37842, 2022 | 4 | 2022 |
| Representing and utilizing clinical textual data for real world studies: An OHDSI approach VK Keloth, JM Banda, M Gurley, PM Heider, G Kennedy, H Liu, F Liu, ... Journal of Biomedical Informatics 142, 104343, 2023 | 3 | 2023 |
| UtahPOET: Disorder mention identification and context slot filling with cognitive inspiration K Doing-Harris, S Igo, J Shi, J Hurdle Proceedings of the 9th International Workshop on Semantic Evaluation …, 2015 | 3 | 2015 |
| Using Natural Language Processing and Machine Learning to Identify Internal Medicine–Pediatrics Residency Values in Applications B Drum, J Shi, B Peterson, S Lamb, JF Hurdle, C Gradick Academic Medicine 98 (11), 1278-1282, 2023 | 1 | 2023 |
| A deep learning approach for medication disposition and corresponding attributes extraction Q Gan, M Hu, KS Peterson, H Eyre, PR Alba, AE Bowles, JC Stanley, ... Journal of Biomedical Informatics 143, 104391, 2023 | 1 | 2023 |
| A generic rule-based system for clinical trial patient selection J Shi, K Graves, JF Hurdle arXiv preprint arXiv:1907.06860, 2019 | 1 | 2019 |
| FastContext: an efficient and scalable implementation of the ConText algorithm J Shi, JF Hurdle arXiv preprint arXiv:1905.00079, 2019 | 1 | 2019 |
| An Efficient Pipeline for High-performance Information Extraction to Support Clinical Natural Language Processing J Shi The University of Utah, 2019 | 1 | 2019 |
John F. HurdleProfessor of Biomedical Informatics, University of UtahGeverifieerd e-mailadres voor utah.edu
