Prediction of Mental Health using Machine Learning Techniques

Prediction of Mental Health using Machine Learning Techniques

^Authors

^{Satvik Chandra Saxena, Tanmay, Dr. C. Malathy}

^{Department of Computer Science and Engineering}

^{SRM Institute of Science and Technology}

^{Kattankulathur, Chennai, 603203}

Abstract- Earlier prognosis of mental health problems enables professionals deal with early and improves life. Depression is one of the main causes of incapacity international. This text gives a top level view of AI and present day programs in health care, a review of the latest AI mental health research, and a dialogue of ways AI can enhance medical exercise while considering its contemporary obstacles, regions that require in addition research, and behavioral influences. About AI technology. Therefore, there may be an urgent need to deal with simple mental health issues in children, that could lead to extreme headaches, if not treated early. Device getting to know strategies are presently properly-perfect for studying medical records and diagnosing a trouble. Attributes are downgraded the use of the feature selection algorithms on top of the total characteristic facts set. The accuracy over the full set of attributes and the selected characteristic set within the diverse device getting to know algorithms are comparable. However, warning is needed to avoid over-decoding the preliminary effects, and more work is needed to shut the gap between AI in mental fitness studies and clinical care.