Artificial Intelligence-based Prediction of Depression, Anxiety and Stress

Authors : Mansi Chandra; Dr Shruthi SD

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar :

Scribd :


In today's fast-paced world, mental health concerns that include anxiety, depression, and stress have become quite frequent among individuals of all ages. One of the major reasons behind this problem is the lack of awareness among the masses. Mental health refers to one's psychological, emotional, and social well-being, and it is essential at all stages of life, from childhood and adolescence to maturity. In this study, machine learning algorithms were used to predict anxiety, Depression, and stress. To apply the machine learning algorithms, information was gathered from people of different ages, occupations, sexes, and lifestyles through a questionnaire with questions psychologists frequently use to comprehend their patients' issues in specifics. The results reveal that the model has a high level of accuracy in predicting mental health outcomes. Our aim with this paper is to raise awareness and make people aware that they may be suffering from mental health disorders like Anxiety, Depression, and Stress. The model developed in this study can assist healthcare providers in identifying patients at high risk of developing Mental issues and can enable early intervention and prevention strategies. We believe establishing such a system into effect could help us avoid a future "Mental health epidemic" and make diagnosis easier for people.

Keywords : Anxiety, Depression, Decision Tree Algorithm, Mental Health Prediction, Machine Learning, Stress.


Paper Submission Last Date
31 - December - 2023

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.