25 citations · 64 across the 16 of their papers we have counts for
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cs.LG2025
Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data
Youcef Barkat, Dylan Hamitouche, Deven Parekh +2
Background: Mental illnesses such as depression and anxiety require improved methods for early detection and personalized intervention. Traditional predictive models often rely on…
cs.LG2023
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa +17
Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding…