The psychiatric diagnostic procedure is currently based on self-reports that are subject to
personal biases. Therefore, the diagnostic process would benefit greatly from data-driven …

Assessing mental health disorders and determining treatment can be difficult for a number of
reasons, including access to healthcare providers. Assessments and treatments may not be …

Background In this modern era, depression is one of the most prevalent mental disorders
from which millions of individuals are affected today. The symptoms of depression are …

Abstract Machine learning (ML) has been introduced into the medical field as a means to
provide diagnostic tools capable of enhancing accuracy and precision while minimizing …

Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense
psychological effects on people's minds worldwide. The global technological development …

Depression has become one of the most crucial public health issues, threatening the quality
of life of over 300 million people throughout the world. Nevertheless, the clinical diagnosis of …

Objective: To integrate neuroimaging data associated with multiple symptom-related neural
processes and demonstrate their utility in the context of depression by deriving a predictive …

Aims Major depression disorder (MDD) is the single greatest cause of disability and
morbidity, and affects about 10% of the population worldwide. Currently, there are no …

The current polythetic and operational criteria for major depression inevitably contribute to
the heterogeneity of depressive syndromes. The heterogeneity of depressive syndrome has …

Background Multiple studies have examined functional and structural brain alteration in
patients diagnosed with major depressive disorder (MDD). The introduction of multivariate …