Machine learning in the analysis of mental disease

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Abstract

Mental Health issues affect millions of people every year and deter the ability of an individual to live a fulfilling life. 1 in 5 U.S. adults experience some type of mental illness every year. Even though in the U.S. there are progressive policies and initiatives to help those with mental illnesses, there are still many people suffering and not receiving the help they need. There are different factors and reasons behind why some individuals are hesitant to receive care. Location, stigma, and the fear of treatment are some of the reasons, but with the help of technology like machine learning there can be a access to help everywhere. This work provides general overview on the mental disease particularly to review the machine learning application in the mental disease analysis to provide the best overview of this emerging direction.

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Kim, L., Han, M., & Guo, R. (2020). Machine learning in the analysis of mental disease. In ACMSE 2020 - Proceedings of the 2020 ACM Southeast Conference (pp. 316–317). Association for Computing Machinery, Inc. https://doi.org/10.1145/3374135.3385299

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