Exploring foci of:
Journal of Physics Conference Series • Vol 2161 • No 1
Predicting Mental Health Illness using Machine Learning Algorithms
January 2022 • K Vaishnavi, Ullas Kamath, B. Ashwath Rao, N. V. Subba Reddy
Abstract Early detection of mental health issues allows specialists to treat them more effectively and it improves patient’s quality of life. Mental health is about one’s psychological, emotional, and social well-being. It affects the way how one thinks, feels, and acts. Mental health is very important at every stage of life, from childhood and adolescence through adulthood. This study identified five machine learning techniques and assessed their accuracy in identifying mental health issues using several accuracy…
Machine Learning
Random Forest
Mental Health
Artificial Intelligence
Decision Tree
Computer Science
Decision Tree Learning
Mental Disorder
Algorithm
Psychiatry