Path Signature Representation of Patient-Clinician Interactions as a Predictor for Neuropsychological Tests Outcomes in Children: A Proof of Concept

no code implementations • 12 Dec 2023 • Giulio Falcioni, Alexandra Georgescu, Emilia Molimpakis, Lev Gottlieb, Taylor Kuhn, Stefano Goria

This research report presents a proof-of-concept study on the application of machine learning techniques to video and speech data collected during diagnostic cognitive assessments of children with a neurodevelopmental disorder.

Bayesian Networks for the robust and unbiased prediction of depression and its symptoms utilizing speech and multimodal data

no code implementations • 9 Nov 2022 • Salvatore Fara, Orlaith Hickey, Alexandra Georgescu, Stefano Goria, Emilia Molimpakis, NIcholas Cummins

Predicting the presence of major depressive disorder (MDD) using behavioural and cognitive signals is a highly non-trivial task.

Speech and the n-Back task as a lens into depression. How combining both may allow us to isolate different core symptoms of depression

no code implementations • 30 Mar 2022 • Salvatore Fara, Stefano Goria, Emilia Molimpakis, NIcholas Cummins

Finally, we present a set of experiments that highlight the association between different speech and n-Back markers at the PHQ-8 item level.

Facebook sentiment: Reactions and Emojis

no code implementations • WS 2017 • Ye Tian, Thiago Galery, Giulio Dulcinati, Emilia Molimpakis, Chao Sun

FB reactions (e. g. {``}Love{''} and {``}Angry{''}) indicate the readers{'} overall sentiment, against which we can investigate the types of emojis used the comments under different reaction profiles.