Publications
2024
“Improving the identification of diabetic retinopathy and related conditions in the electronic health record using natural language processing methods.” Harrigian, K. et al. Ophthalmology Science [Paper]
“Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.” Jeong, H., et al. ArXiV [Paper]
2023
“An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping.” Harrigian, K.; Tang, T.; Gonzales, A.; Cai, C.X.; Dredze, M. In Findings of the 2023 Machine Learning for Health (ML4H) Conference. [Paper] [Code]
“Managing HIV During the COVID-19 Pandemic: A Study of Help-Seeking Behaviors on a Social Media Forum.” Ayers, J.W.; Zhu, Z.; Harrigian, K.; Wightman, G.P.; Dredze, M.; Strathdee, A.; Smith, D.M. AIDS and Behavior. [Paper]
“Characterization of Stigmatizing Language in Medical Records.” Harrigian, K.; Zirikly, A.; Chee, B.; Ahmad, A.; Links, AR.; Saha, S.; Beach, MC.; Dredze, M. In Proceedings of the 61st Meeting of the Association of Computational Linguistics (ACL). [Paper] [Code] [Data and Models]
“Health Disparities in Lapses in Diabetic Retinopathy Care.” Cai, C.X.; Tran, D.; Tang, T.; Liou, W.; Harrigian, K.; Scott, E.; Nagy, P.; Kharrazi, H.; Crews, D.C.; Zeger, S.L. Ophthalmology Science. [Paper]
2022
“Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses.” Harrigian, K. and Dredze, M. In Proceedings of the 2022 Computational Linguistics and Clinical Psychology Workshop (CLPsych). [Paper] [Slides]
“The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic.” Harrigian, K. and Dredze, M. In Proceedings of the 14th ACM Web Science Conference. [Paper] [Code] [Slides]
2021
“On the State of Social Media Data for Mental Health Research.” Harrigian, K.; Aguirre, C.; Dredze, M. In Proceedings of the 2021 Computational Linguistics and Clinical Psychology Workshop. [Paper] [Data] [Slides]
“Towards Understanding the Role of Demographics in Deploying Social Media-Based Mental Health Surveillance Models.” Sherman, E.; Harrigian, K.; Aguirre, C.; Dredze, M. In Proceedings of the 2021 Computational Linguistics and Clinical Psychology Workshop. [Paper] [Code]
“Gender and Racial Fairness in Depression Research using Social Media.” Aguirre, C.; Harrigian, K.; Dredze, M. In Proceedings of the 16th Conference of the European Chapter of the ACL (EACL). [Paper]
2020
“Do Models of Mental Health Based on Social Media Generalize?” Harrigian, K.; Aguirre, C.; Dredze, M. Findings of ACL: EMNLP. 2020. [Paper] [Code]
2018
“Geocoding Without Geotags: A Text-based Approach for reddit.” Harrigian, K. In Proceedings of the 4th Workshop on Noisy User-generated Text (EMNLP). [Paper] [Code] [Slides]
“Recognizing Film Entities in Podcasts.” Gundogdu, A.; Sanghvi, A.; Harrigian, K. In Proceedings of the 1st Workshop on Machine Learning and Data Mining for Podcasts (KDD). [Paper]
2017
“Pitchers and Pianists: Timing in Discrete and Rhythmic Motor Skills.” Sternad, D.; Guo, D.; Harrigian, K. New England Sequencing and Timing Meeting. [Abstract]
“Pitchers and Pianists: A Large-Scale Study on Discrete and Rhythmic Timing.” Harrigian, K.; Guo, D.; Park, S.; Sternad, D. [Code]
2016
“When Anonymity is Not Anonymous: Gender Inference on Reddit.” Harrigian, K.; Sanders, N.; Foster, J.; Sanghvi, A. Northeastern Research, Innovation, and Scholarship Expo. [Poster]
2015
“Effects of tDCS on Precision of Finger Force Control and Rhythmic Tapping Movements.” Harrigian, K.; Kuznetsov, N.; Sternad, D. Northeastern Research, Innovation, and Scholarship Expo. [Poster]