A brief review of machine learning methods used in mental health research
Machine Learning (ML) is a sub-domain of Artificial Intelligence, and it focuses on the
statistical methods to analyse data. Analysis of data can help in understanding the hidden …
statistical methods to analyse data. Analysis of data can help in understanding the hidden …
Smartphone usage behavior between depressed and non-depressed students: an exploratory study in the context of Bangladesh
Increasing smartphone usage has received much scholarly attention to investigate its impact
on mental health. To our best knowledge, none of the previous studies have explored …
on mental health. To our best knowledge, none of the previous studies have explored …
Analysing the effective psychological state of students using facial features
S Kumar, D Varshney, G Dhawan… - 2020 4th International …, 2020 - ieeexplore.ieee.org
The psychological state of college students plays an important role in their academic
performance. Negligence of one's mental and emotional health can lead to severe problems …
performance. Negligence of one's mental and emotional health can lead to severe problems …
Video-based depression detection using support vector machine (SVM)
N Yadav, A Singh, D Kumar - International Conference on Computational …, 2022 - Springer
Depression is categorized as a mood disorder that causes a persistent feeling of irritability,
sadness, and hopelessness in a person's daily life, which eventually leads to a mixed …
sadness, and hopelessness in a person's daily life, which eventually leads to a mixed …
[HTML][HTML] Инструментальные средства анализа депрессивного состояния и личностных черт человека
НВ Кисельникова, ЕА Куминская… - … системы: теория и …, 2019 - cyberleninka.ru
Выполнен анализ работ, посвященных выявлению устойчивой связи между
личностными чертами и депрессией человека по комплексу информации, доступной в …
личностными чертами и депрессией человека по комплексу информации, доступной в …
Depression Assessment in Youths Using an Enhanced Deep Learning Approach
Depression is a common and severe mental disorder with considerable effects on
functionality and well-being as well as significant negative effects on individuals, families …
functionality and well-being as well as significant negative effects on individuals, families …
Applying Machine Learning to Detect Depression-Related Texts on Social Networks
S Shekerbekova, M Yerekesheva, L Tukenova… - … on Advanced Informatics …, 2020 - Springer
This interdisciplinary study is aimed at determining the informative signs of behavior of users
of the social network Vkontakte of the Kazakh segment in connection with the level of …
of the social network Vkontakte of the Kazakh segment in connection with the level of …
UNWIND–A Mobile Application that Provides Emotional Support for Working Women
P Kugapriya, M Manohara… - 2022 2nd Asian …, 2022 - ieeexplore.ieee.org
Depression is a common phenomenon affecting more than 264 million people worldwide. It
is one of the leading causes of disability and a major contributor to the overall global burden …
is one of the leading causes of disability and a major contributor to the overall global burden …
Identification of a Depressive State Among Users of the Vkontakte Social Network
AA Zotkina, AI Martyshkin - 2023 International Russian Smart …, 2023 - ieeexplore.ieee.org
The article examines the analysis of the depressive state of social network users. It is noted
that the VKontakte social network will be used as a social platform for collecting information …
that the VKontakte social network will be used as a social platform for collecting information …
Study and Survey of Depression Analysis and Prediction in Perspective of Machine Learning Approach
Depression as a disorder has always been a focus of attention of researchers. Depressive
disorders and mental health issues are the major problems. These disorders affect large …
disorders and mental health issues are the major problems. These disorders affect large …