• M . J . Adlin Sajeesha
• D . S . Sree Devi
• V . D . Sangavai
• Dr . J . Arokia Renjith

Mental health problems detected at earlier stage helps the psychologist to medicate and enhance the patient’s life. Depression is one of the leading causes of disability worldwide. This article provides an evaluation of machine learning in mental healthcare. The analysis of research on ML -peculiar to psychological health and a talks of how ML can support health while considering its present bounds concerning ML technology . Hence , there is an immediate requirement to cure basic psychological health problems that abound among children which may lead to serious issues, when not cured at an early stage. Machine learning Techniques are presently applicable for evaluating medical data and treating the problem. The attributes have been decreased by applying Feature Selection algorithms over the complete data set of attributes. The accuracy of all the algorithms are compared and the best algorithm with higher efficiency is been deployed using flask. However, alert is required to ignore unnecessary results, and more work is required to viaduct the gap between ML in psychological health research and health care.

"Prediction of mental health using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.i634-i640, May-2022, Available :http://www.jetir.org/papers/JETIR2205992.pdf

"Prediction of mental health using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppi634-i640, May-2022, Available at : http://www.jetir.org/papers/JETIR2205992.pdf