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

no code implementations • 24 Mar 2023 • David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan Karp, Benoit 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

We analyzed data from six clinical trials of pharmacological treatment for depression (total n = 5438) using the Differential Prototypes Neural Network (DPNN), a neural network model that derives patient prototypes which can be used to derive treatment-relevant patient clusters while learning to generate probabilities for differential treatment response.

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

no code implementations • 6 Mar 2023 • Grace Golden, Christina Popescu, Sonia Israel, Kelly Perlman, Caitrin Armstrong, Robert Fratila, Myriam Tanguay-Sela, David Benrimoh

Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare.

Management

Legends: Folklore on Reddit

no code implementations • 1 Jul 2020 • Caitrin Armstrong, Derek Ruths

In this paper we introduce Reddit legends, a collection of venerated old posts that have become famous on Reddit.

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

no code implementations • WS 2019 • Bh, Abhinav ari, Caitrin Armstrong

Language is an important marker of a cultural group, large or small.

Vocal Bursts Intensity Prediction

Big Data Analytics and AI in Mental Healthcare

no code implementations • 12 Mar 2019 • 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

Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population.