The definition of mental disorders describes them as “health conditions involving changes in emotion, thinking or behavior or a combination of these”. Contemporary societies of 2020 still fall short in recognizing some of the most common afflictions as actual problems in people. Some of those are depression, anxiety and stress disorders. This paper proposes a Machine Learning based approach wherein the analysis of the multiple-choice inputs along with a neatly curated questionnaire based on feature extraction will be done and then supervised classification algorithms will be used to generate a mental health score as well as a detailed report based on responses the user gives
Abstract: Humans' most powerful tool is their mental wellness. Individuals' well-being can be impact...
Mental health is a growing concern in today's society. Mental disorders such as bipolar disorder and...
Using audio and text data from multiple sources, we evaluated the viability of using machine and dee...
Life expectancy may be greatly improved by accurately diagnosing mental health issues at an early st...
People are having behavioral issues and mental disorders as a result of increased strain and stress ...
An increasing number of individuals around the world suffer from mental health issues but are unable...
This paper aims to synthesise the literature on machine learning (ML) and big data applications for ...
Mental disorders are a worldwide problem. In the USA alone, approximately one billion dollars are sp...
Problems with mental health are common presently and have been a worry for a long time. Mental healt...
Mental health is recognized as a non-communicable disease that impairs human lives, sometimes beyond...
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense psychological...
Today, the increase in mental health problems, the variable nature of mental health and the lack of ...
Mental illness is one of the leading causes of death in The United States. Similarly, mental illness...
: This work illustrates the advantages of using machine learning classifiers in psychiatric assessme...
Mental and behavioral problems primarily affect the mind and brain, altering emotions and cognition....
Abstract: Humans' most powerful tool is their mental wellness. Individuals' well-being can be impact...
Mental health is a growing concern in today's society. Mental disorders such as bipolar disorder and...
Using audio and text data from multiple sources, we evaluated the viability of using machine and dee...
Life expectancy may be greatly improved by accurately diagnosing mental health issues at an early st...
People are having behavioral issues and mental disorders as a result of increased strain and stress ...
An increasing number of individuals around the world suffer from mental health issues but are unable...
This paper aims to synthesise the literature on machine learning (ML) and big data applications for ...
Mental disorders are a worldwide problem. In the USA alone, approximately one billion dollars are sp...
Problems with mental health are common presently and have been a worry for a long time. Mental healt...
Mental health is recognized as a non-communicable disease that impairs human lives, sometimes beyond...
Over the years, stress, anxiety, and modern-day fast-paced lifestyles have had immense psychological...
Today, the increase in mental health problems, the variable nature of mental health and the lack of ...
Mental illness is one of the leading causes of death in The United States. Similarly, mental illness...
: This work illustrates the advantages of using machine learning classifiers in psychiatric assessme...
Mental and behavioral problems primarily affect the mind and brain, altering emotions and cognition....
Abstract: Humans' most powerful tool is their mental wellness. Individuals' well-being can be impact...
Mental health is a growing concern in today's society. Mental disorders such as bipolar disorder and...
Using audio and text data from multiple sources, we evaluated the viability of using machine and dee...