Multimodal temporal machine learning for Bipolar Disorder and Depression Recognition

• Published in: Pattern analysis and applications : PAA Vol. 25; no. 3; pp. 493 - 504
• Main Authors: Ceccarelli, Francesco, Mahmoud, Marwa
• Format: Journal Article
• Language: English
• Published: London Springer London 01.08.2022; Springer Nature B.V
• Subjects: Bipolar disorder; Computer architecture; Computer Science; Evolution; Feature extraction; Machine learning; Mental depression; Mental disorders; Neural networks; Original Article; Pattern Recognition; Public health; Recognition; Recurrent neural networks; Special Issue on Computer Vision and Machine Learning for Healthcare Applications; Mental disorder; Multimodal; Recurrent neural network; Machine learning

Mental disorder is a serious public health concern that affects the life of millions of people throughout the world. Early diagnosis is essential to ensure timely treatment and to improve the well-being of those affected by a mental disorder. In this paper, we present a novel multimodal framework to...