Keith Harrigian

17 papers A 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework.
CoRR
Nathan Drenkow, Mitchell Pavlak, Keith Harrigian, Ayah Zirikly, Adarsh Subbaswamy, Mathias Unberath
2024 — conf
Are Clinical T5 Models Better for Clinical Text?
ML4H@NeurIPS
Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze
2024 J jnl
Are Clinical T5 Models Better for Clinical Text?
CoRR
Yahan Li, Keith Harrigian, Ayah Zirikly, Mark Dredze
2024 J jnl
Give me Some Hard Questions: Synthetic Data Generation for Clinical QA.
CoRR
Fan Bai, Keith Harrigian, Joel Stremmel, Hamid Hassanzadeh, Ardavan Saeedi, Mark Dredze
2024 J jnl
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR
Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo
2023 J jnl
An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping.
CoRR
Keith Harrigian, Tina Tang, Anthony Gonzales, Cindy X. Cai, Mark Dredze
2023 — conf
Characterization of Stigmatizing Language in Medical Records.
ACL (2)
Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne Links, Somnath Saha, Mary Catherine Beach, Mark Dredze
2022 — conf
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic.
WebSci
Keith Harrigian, Mark Dredze
2022 J jnl
The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic.
CoRR
Keith Harrigian, Mark Dredze
2022 J jnl
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses.
CoRR
Keith Harrigian, Mark Dredze
2021 A conf
Gender and Racial Fairness in Depression Research using Social Media.
EACL
Carlos Alejandro Aguirre, Keith Harrigian, Mark Dredze
2021 J jnl
Gender and Racial Fairness in Depression Research using Social Media.
CoRR
Carlos Alejandro Aguirre, Keith Harrigian, Mark Dredze
2020 — conf
Do Models of Mental Health Based on Social Media Data Generalize?
EMNLP (Findings)
Keith Harrigian, Carlos Alejandro Aguirre, Mark Dredze
2020 J jnl
On the State of Social Media Data for Mental Health Research.
CoRR
Keith Harrigian, Carlos Alejandro Aguirre, Mark Dredze
2018 — conf
Geocoding Without Geotags: A Text-based Approach for reddit.
NUT@EMNLP
Keith Harrigian
2018 J jnl
Geocoding Without Geotags: A Text-based Approach for reddit.
CoRR
Keith Harrigian
2018 J jnl
Recognizing Film Entities in Podcasts.
CoRR
Ahmet Salih Gundogdu, Arjun Sanghvi, Keith Harrigian