| Do models of mental health based on social media data generalize? K Harrigian, C Aguirre, M Dredze Findings of the association for computational linguistics: EMNLP 2020, 3774-3788, 2020 | 65 | 2020 |
| On the state of social media data for mental health research K Harrigian, C Aguirre, M Dredze Proceedings of the 7th Workshop on Computational Linguistics and Clinical …, 2020 | 59 | 2020 |
| Gender and racial fairness in depression research using social media C Aguirre, K Harrigian, M Dredze Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 46 | 2021 |
| Geocoding without geotags: a text-based approach for reddit K Harrigian Proceedings of the 4th Workshop on Noisy User Generated Text (W-NUT) at …, 2018 | 26 | 2018 |
| Health disparities in lapses in diabetic retinopathy care CX Cai, D Tran, T Tang, W Liou, K Harrigian, E Scott, P Nagy, H Kharrazi, ... Ophthalmology science 3 (3), 100295, 2023 | 13 | 2023 |
| Characterization of stigmatizing language in medical records K Harrigian, A Zirikly, B Chee, A Ahmad, A Links, S Saha, MC Beach, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
| Towards understanding the role of gender in deploying social media-based mental health surveillance models E Sherman, K Harrigian, C Aguirre, M Dredze Proceedings of the Seventh Workshop on Computational Linguistics and …, 2021 | 11 | 2021 |
| An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping K Harrigian, T Tang, A Gonzales, CX Cai, M Dredze Machine Learning for Health (Findings), 2023 | 5 | 2023 |
| The problem of semantic shift in longitudinal monitoring of social media: A case study on mental health during the covid-19 pandemic K Harrigian, M Dredze Proceedings of the 14th ACM Web Science Conference 2022, 208-218, 2022 | 5 | 2022 |
| Managing HIV during the COVID-19 pandemic: a study of help-seeking behaviors on a social media forum JW Ayers, Z Zhu, K Harrigian, GP Wightman, M Dredze, SA Strathdee, ... AIDS and Behavior 28 (4), 1166-1172, 2024 | 4 | 2024 |
| Recent advances, applications, and open challenges in machine learning for health: Reflections from research roundtables at ml4h 2023 symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | 4 | 2024 |
| Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses K Harrigian, M Dredze Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022 | 4 | 2022 |
| Recognizing film entities in podcasts AS Gundogdu, A Sanghvi, K Harrigian Proceedings of 2018 KDD Workshop on Machine Learning and Data Mining for …, 2018 | 3 | 2018 |
| The Problem of Semantic Shift in Longitudinal Monitoring of Social Media K Harrigian, M Dredze Proceeedings of the 14th ACM Web Science Conference, 13, 2022 | 2 | 2022 |
| Are Clinical T5 Models Better for Clinical Text? Y Li, K Harrigian, A Zirikly, M Dredze arXiv preprint arXiv:2412.05845, 2024 | 1 | 2024 |
| Give me Some Hard Questions: Synthetic Data Generation for Clinical QA F Bai, K Harrigian, J Stremmel, H Hassanzadeh, A Saeedi, M Dredze arXiv preprint arXiv:2412.04573, 2024 | | 2024 |
| Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods K Harrigian, D Tran, T Tang, A Gonzales, P Nagy, H Kharrazi, M Dredze, ... Ophthalmology Science 4 (6), 100578, 2024 | | 2024 |
| Towards Robust Natural Language Processing to Promote Health Equity K Harrigian Johns Hopkins University, 2024 | | 2024 |
Mark DredzeJohns Hopkins UniversityVerifierad e-postadress på cs.jhu.edu