| Tweeting for social justice in# Ferguson: Affective discourse in Twitter hashtags JL Blevins, JJ Lee, EE McCabe, E Edgerton new media & society 21 (7), 1636-1653, 2019 | 95 | 2019 |
| Shouting into the wind: medical science versus “BS” in the Twitter maelstrom of politics and misinformation about hydroxychloroquine JL Blevins, E Edgerton, DP Jason, JJ Lee Social Media+ Society 7 (2), 20563051211024977, 2021 | 15 | 2021 |
| Convergence in viral outbreak research: using natural language processing to define network bridges in the bench-bedside-population paradigm MV Powers-Fletcher, EE McCabe, S Luken, D Wu, PA Hagedorn, ... PubPub 3 (1), 2021 | 5 | 2021 |
| Developing a machine learning model to detect diagnostic uncertainty in clinical documentation TL Marshall, LC Nickels, PW Brady, EJ Edgerton, JJ Lee, PA Hagedorn Journal of Hospital Medicine 18 (5), 405-412, 2023 | 2 | 2023 |
| Defining diagnostic uncertainty as a discourse type: A transdisciplinary approach to analysing clinical narratives of Electronic Health Records LC Nickels, TL Marshall, E Edgerton, PW Brady, PA Hagedorn, JJ Lee Applied Linguistics 45 (1), 134-162, 2024 | | 2024 |
| Toward Curbing a Different Form of Misinformation: Exposing Black-Box Machine Learning Algorithm Misclassification and Using Qualitative Methods to Improve Pipelines for … JK Dariotis, D Wu, E Edgerton, J Lee, L Nickels Society for Prevention Research 30th Annual Meeting, 2022 | | 2022 |
| Feature Extraction and Visualization of Respiratory Therapist Notes for Pediatric Long-Term Ventilator Dependent Patients NM Pajor, L Nickels, E Edgerton, DTY Wu, DT Benscoter, JJ Lee 2020 Workshop on Visual Analytics in Healthcare (VAHC), 26-27, 2020 | | 2020 |
| Innovative Measures of Patient and Disease Phenotyping: Optimizing Linguistic and Machine Learning Techniques in the Investigation of Electronic Health Record (EHR) Data LC Nickels, DTY Wu, F MSI, EJ Edgerton, JJ Lee | | |
