Keith Harrigian
Keith Harrigian
PhD Student in Computer Science, Johns Hopkins University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
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
Recognizing film entities in podcasts
AS Gundogdu, A Sanghvi, K Harrigian
Proceedings of 2018 KDD Workshop on Machine Learning and Data Mining for …, 2018
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
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
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
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
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