Machine learning algorithms for depression: diagnosis, insights, and research directions
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 …
psychological effects on people's minds worldwide. The global technological development …
Text-based depression detection on social media posts: A systematic literature review
D William, D Suhartono - Procedia Computer Science, 2021 - Elsevier
Due to the huge increase of awareness of mental health well-being, the detection of mental
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in …
illness itself is starting to become a huge concern. Many psychiatrists found difficulties in …
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts
Depression is one of the leading causes of suicide worldwide. However, a large percentage
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
of cases of depression go undiagnosed and, thus, untreated. Previous studies have found …
Depression detection from social networks data based on machine learning and deep learning techniques: An interrogative survey
KM Hasib, MR Islam, S Sakib, MA Akbar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Users can interact with one another through social networks (SNs) by exchanging
information, delivering comments, finding new information, and engaging in discussions that …
information, delivering comments, finding new information, and engaging in discussions that …
[HTML][HTML] An in-depth analysis of machine learning approaches to predict depression
Among all the forms of psychological and mental disorders, depression is the most common
form. Nowadays a large number of youths and adults around the world suffer from …
form. Nowadays a large number of youths and adults around the world suffer from …
Detection of child depression using machine learning methods
Background Mental health problems, such as depression in children have far-reaching
negative effects on child, family and society as whole. It is necessary to identify the reasons …
negative effects on child, family and society as whole. It is necessary to identify the reasons …
Novel cuckoo search-based metaheuristic approach for deep learning prediction of depression
Depression is a common illness worldwide with doubtless severe implications. Due to the
absence of early identification and treatment for depression, millions of individuals …
absence of early identification and treatment for depression, millions of individuals …
The relationships between food literacy, health promotion literacy and healthy eating habits among young adults in South Korea
Y Lee, T Kim, H Jung - Foods, 2022 - mdpi.com
The obesity problem has reached a critical level and is threatening not only personal health
but also public health systems around the world. Obesity in young adults is especially …
but also public health systems around the world. Obesity in young adults is especially …
Assessment of anxiety, depression and stress using machine learning models
Over the last few decades, psychological health issues have become very common in
people worldwide. In this paper, prediction of the occurrence of psychological problems …
people worldwide. In this paper, prediction of the occurrence of psychological problems …
Depression detection based on hybrid deep learning SSCL framework using self-attention mechanism: An application to social networking data
In today's world, mental health diseases have become highly prevalent, and depression is
one of the mental health problems that has become widespread. According to WHO reports …
one of the mental health problems that has become widespread. According to WHO reports …