Mental illness risk prediction in high school students using artificial neural network
Bibliographic Data
| ID | 9405641 |
|---|---|
| Authors | Samuel Encarnação (0000-0003-2965-2777, Polytechnic Institute of Bragança), Paula Marisa Fortunato Vaz (0000-0001-7678-6781, Polytechnic Institute of Bragança), Paula Fortunato Vaz, F Vaz (0000-0001-5506-996X, Administração Regional de Saúde de Lisboa e Vale do Tejo, corresponding author), Álvaro Fortunato Vaz, António M Monteiro (0000-0003-4467-1722, Polytechnic Institute of Bragança), António Miguel de Barros Monteiro |
| Year | 2025 |
| Volume | 259 |
| Pages | 105324-105324 |
| Publication date | 2025-08-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Acta Psychologica (JOURNAL) |
| Journal identifiers | ISSN: 0001-6918 • E-ISSN: 1873-6297 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.actpsy.2025.105324 |
| PMID | 40876340 |
| OpenAlex | W4413767562 |
| Language | EN |
| References cited | 56 |
Artificial neural network · Mental health · Mental illness · Psychiatry · Artificial Intelligence · Computer Science · Machine Learning in Healthcare · Mental Health Research Topics · Psychology · Traditional Chinese Medicine Studies
The social determinants of mental health and disorder
Factors that influence mental health of university and college students in the UK
Interpreting Black-Box Models
Stress and adolescence
Resilience and mental health
Social vulnerabilities for substance use
Risk factors associated with stress, anxiety, and depression among university undergraduate students
The Development of Self and Identity in Adolescence
Relationship of prefrontal cortex activity with anhedonia and cognitive function in major depressive disorder
The Psychopathology of Worthlessness in Depression
Mental Health and Well-Being of University Students in Okinawa
Longitudinal pathways from adolescent depressive symptoms to cardiovascular disease risk in adulthood
Adolescent depressive symptoms and memory performance in young adulthood
| Citation velocity | historical |
|---|---|
| Highly cited | No |