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This may be analogous to a specific region or workings of the brain frequently in a social context. Anxiety disorders, psychotic disorders, personality disorders, mood disorders, eating disorders, and many more are examples of mental disorders, while complications include social problems, suicides, and cognitive impairment. These days, mental disorders are quotidian worldwide, and clinically consequential levels of derangement rise adversely. The purpose of this paper is to aid in prognosis of the type of mental disorder by analyzing the brainwaves such as Alpha ([Formula: see text]), Beta ([Formula: see text]), Gamma ([Formula: see text]), Theta ([Formula: see text]), Delta ([Formula: see text]) with the help of big data analysis and the Internet of Medical Things (IoMT). IoMT helps in gathering the required data and data transmission, while big data analysis helps in predicting the type of disorder. <\/jats:p>","DOI":"10.1142\/s0218126624501974","type":"journal-article","created":{"date-parts":[[2024,1,12]],"date-time":"2024-01-12T15:18:28Z","timestamp":1705072708000},"source":"Crossref","is-referenced-by-count":8,"title":["An Internet of Medical Things-Based Mental Disorder Prediction System Using EEG Sensor and Big Data Mining"],"prefix":"10.1142","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7722-2398","authenticated-orcid":false,"given":"V. 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