Publications
SCIENTIFIC ARTICLES THAT HAVE INSPIRED THE ALENTAR-J-CM PROJECT
Detection of major depressive disorder, bipolar disorder, schizophrenia and generalized anxiety disorder using vocal acoustic analysis and Machine Learning (ML)
Mental disorders such as depression, bipolar disorder, schizophrenia, and anxiety represent a growing global health burden. Despite advances in psychiatry,…
Can we predict suicide reattemps by non-suicidal self-injury post-attempt?
Suicidal behavior remains a major public health concern, with particularly high risk of recurrence following a first suicide attempt. While…
Machine Learning (ML) techniques to identify depression voice biomarkers: a narrative review.
Depression is a widespread mental health disorder that often remains underdiagnosed due to limitations in traditional assessment methods. Recent technological…
Smart devices and stress level detection: balancing machine learning model complexity and device intrusiveness
Mental health disorders have become leading contributors to disability worldwide. Furthermore, stress represents a relevant risk factor linked to depression,…
Promising effects of a trained AI chatbot as an intervention asset for reducing depression and anxiety among young adults
Young adults face emotional problems in their daily lives. Considering that youth are prevalent among mobile internet users, it would…
Exploring the reasons for quitting psychological assessment in adolescents at risk of suicide and the role of Natural Language Processing (NLP) models
Non-attendance at scheduled psychological assessments represents a critical barrier to suicide prevention efforts among adolescents. Early identification of suicide risk…
This website is supported by the Dirección General de Investigación e Innovación Tecnológica de la Comunidad de Madrid (Orden 3177/2024) through the I+D Technological activities program (TEC-2024/COM-224) and the European Regional Development Fund (ERDF)