Humans use emotional expressions to communicate their internal affective states. These behavioral expressions are often multi-modal (e.g. facial expression, voice and gestures) and researchers have proposed several schemes to predict the latent affective states based on these expressions. The relationship between the latent affective states and their expression is hypothesized to be affected by...

This study aims to predict clinical depression, a prevalent mental disorder, from blog posts written in Japanese by using machine learning approaches. The study focuses on how data quality and various types of linguistic features (characters, tokens, and lemmas) affect prediction outcome. Depression prediction achieved 95.5% accuracy using selected lemmas as features.

Depression prediction and intervention based on education big data, combined with real-time data the influence of COVID-19, we collected college students' extracted entities related to depression relationship between entities, formed into a knowledge triplet, then constructed map (KG) depression, predicted provided words for depression.

In depression patients, prediction of cardiovascular diseases is very important and critical for effective treatments and health care. In the present study, we developed the prediction model utilizing data-mining based linear discriminant analysis in order to make early prediction of cardiovascular diseases in depression patients. The objective of the study was to find the optimal method in the...

abstract introduction: psychological theories and literature have confirmed self-destructiveness patterns in human beings. chronic self-destructiveness has been defined as a tendency to behaviors that increase negative consequences and decrease potential success in the future. the aim of this study was to investigate prediction of chronic self-destructiveness based on the depression symptoms, i...

objective: the purpose of this study was to examine the prediction of depression on a group of ‎iranian older adults based on components of health locus of control.‎ method: sixty-six men and 42 women over the age of 55 were recruited from the retirement ‎clubs in shiraz, using convenience sampling. the participants completed the research ‎questionnaires including the geriatric depression scale...

Depression is a state of severe despondency and affects a person’s thoughts and behavior. Depression leads to several psychiatric symptoms such as fatigue, restlessness, insomnia as well as other mood disorders (e.g. anxiety and irritation). These symptoms have a resultant impact on the subject’s emotional expression. In this work, we address the problem of predicting the emotional dimensions o...

background: depression is one of the most common and specific problems during pregnancy and after it. maternal postpartum depression compromises mothers’ health and affected social relationship and has negative effect on infant development.  the aimed of this study was to investigate the prevalence of postpartum depression and its related factors in isfahanian mothers. methods:this is a cross -...