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Symptom mapping and personalized care for depression, anxiety and stress: A data-driven AI approach

2024; Elsevier BV; Volume: 182; Linguagem: Inglês

10.1016/j.compbiomed.2024.109146

1879-0534

Sabrinna Delgado, Rose Claudia Batistelli Vignola, Renato José Sassi, Peterson Adriano Belan, Sidnei Alves de Araújo,

Functional Brain Connectivity Studies

Depression, anxiety, and stress disorders have significant and widespread impacts worldwide, affecting millions of individuals and their communities. According to the World Health Organization, depression impacts the daily lives of more than 300 million people, making it one of the most important diseases globally. Treatment for these mental disorders (MD) typically involves medication and psychotherapies, but also incorporates technological resources like Artificial Intelligence (AI) to indicate personalized therapies and care. While various AI approaches have been applied in the context of MD in the literature, they often focus solely on aiding diagnosis.