Automatic patient functionality assessment from multimodal data using deep learning techniques – Development and feasibility evaluation

por Sükei, Emese, de Leon-Martinez, Santiago, Olmos, Pablo M., Artés, Antonio
Publicado 2023

Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach

por Sükei, Emese, Norbury, Agnes, Perez-Rodriguez, M Mercedes, Olmos, Pablo M, Artés, Antonio
Publicado 2021

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

por Ryu, Jihan, Sükei, Emese, Norbury, Agnes, H Liu, Shelley, Campaña-Montes, Juan José, Baca-Garcia, Enrique, Artés, Antonio, Perez-Rodriguez, M Mercedes
Publicado 2021

Continuous Assessment of Function and Disability via Mobile Sensing: Real-World Data-Driven Feasibility Study

por Sükei, Emese, Romero-Medrano, Lorena, de Leon-Martinez, Santiago, Herrera López, Jesús, Campaña-Montes, Juan José, Olmos, Pablo M, Baca-Garcia, Enrique, Artés, Antonio
Publicado 2023