Depression is a psychiatric condition characterized by persistent sense of sadness and dullness. It also known as severe burdensome problem or clinical sorrow, it impacts how person feels, thinks, behaves triggers slew emotional physical issues. Various components are liable for this issue, many related sicknesses expanding because infection. not just at risk well-being perils, yet produces per...

Abstract Exposure to maternal depressive symptoms and negative parenting practices during childhood configures a vulnerability factor associated with behavior problems among children. This study aims verify the predictive effects of depression (main factor) on behavioral outcomes practices, considering sex children (covariate factor); effect depression, child’s outcomes. The sample was composed...

This document Among all the various types of mental and psychosocial illnesses, most commonly occurring type is depression. It can cause serious problems such as suicide. Therefore, early detection important to stop progression this disease that could endanger human lives. Predicting detecting early-stage depression using machine learning (ML) techniques a promising strategy. study’s main purpo...

Depression symptoms are comparable to Parkinson’s disease symptoms, including attention deficit, fatigue, and sleep disruption, as well of dementia such apathy. As a result, it is difficult for caregivers diagnose depression early. We examined LIME-based stacking ensemble model predict the patients with disease. This study used epidemiologic data (EPD) from Korea Disease Control Prevention Agen...

There is a growing interest in applying AI technology the field of mental health, particularly as an alternative to complement limitations human analysis, judgment, and accessibility health assessments treatments. The current treatment service faces gap which individuals who need help are not receiving it due negative perceptions treatment, lack professional manpower, physical limitations. To o...

BACKGROUND Heightened degrees of anxiety and depression are often found in patients suffering from sarcoidosis, but the reasons for that are unclear. Furthermore, age and gender differences of anxiety and depression in sarcoidosis have not been reported with reference to normative data. OBJECTIVES The aim was to test age and gender differences of anxiety and depression in a large sample, and ...