Caitrin Armstrong

According to our database, Caitrin Armstrong authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study.

David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine A. Heller, Gustavo Turecki

CoRR, 2024

2023

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.

David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan F. Karp, Benoit H. Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki

CoRR, 2023

Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?

Grace Golden, Christina Popescu, Sonia Israel, Kelly Perlman, Caitrin Armstrong, Robert Fratila, Myriam Tanguay-Sela, David Benrimoh

CoRR, 2023

2021

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare.

David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner

Frontiers Big Data, 2021

Challenges when identifying migration from geo-located Twitter data.

Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths, Thomas Soehl

EPJ Data Sci., 2021

2020

Legends: Folklore on Reddit.

Caitrin Armstrong, Derek Ruths

CoRR, 2020

The Residence History Inference Problem.

Derek Ruths, Caitrin Armstrong

CoRR, 2020

2019

Big Data Analytics and AI in Mental Healthcare.

Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman, Bechara Saab, Mark Thoburn, Cheryl Gabbay, Amit Yaniv-Rosenfeld

CoRR, 2019

Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities.

Abhinav Bhandari, Caitrin Armstrong

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2016

User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest.

Edward Newell, David Jurgens, Haji Mohammad Saleem, Hardik Vala, Jad Sassine, Caitrin Armstrong, Derek Ruths

Proceedings of the Tenth International Conference on Web and Social Media, 2016