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- W4200402536 abstract "Mental Health has become a significant public health concern worldwide, yet the stigma associated with this makes it an immense societal burden. It is being believed that the age of onset of mental health conditions such as depression and anxiety has decreased consistently, the effects of which can now be seen in children and adolescents. Continuous negligence of mental health by Indian society has made it very difficult for young people to express their mental well-being. So few technical advancements and societal ignorance have made its pace of development somewhat slow, but recently machine learning and artificial intelligence techniques have piqued the interest of several industries constituting the healthcare industry. Machine learning makes use of advanced mathematical techniques to construct systems with an ability to learn from given datasets, thus enabling analysts and developers to extract vital information from those datasets easily. With the help of such advanced techniques, the aim is to propose a platform that will help people express their emotional state of mind anonymously, without the fear of being judged. In this research paper, an application-based approach is used to provide a personalized experience to users. The app will help in the diagnosis of the users using various instruments such as a questionnaire, and the data collected will help in determining the severity of the condition of the users and correct treatment procedure would be recommended to them." @default.
- W4200402536 created "2021-12-31" @default.
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- W4200402536 date "2021-10-24" @default.
- W4200402536 modified "2023-09-25" @default.
- W4200402536 title "Diagnosing Mental Health Patient WhileMaintaining Anonymity" @default.
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- W4200402536 doi "https://doi.org/10.1109/mysurucon52639.2021.9641727" @default.
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