Browsing by Author "Prabagaran, S"

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    Wedaduru-An Intelligent Ayurvedic Disease Screening and Remedy Analysis Solution
    (IEEE, 2019-12-05) Bandara, R. I. S; Prabagaran, S; Perera, S. A. K. G; Banu, M. N. R; Kahandawaarachchi, K. A. D. C. P
    Heart disease is one of the most common diseases worldwide. According to Ayurveda, behavior of humans associated with food habits are root causes of heart diseases. This research focuses on providing a diagnostic tool for heart diseases through a web- based application, where the diagnosis will be directed through the practices of Ayurveda. The proposed web-based solution `Wedaduru' uses artificial intelligence (AI), which analyses the physical appearance of the patient through image processing, and symptoms using a model with questionnaires. Thereby, the solution/application identifies remedies and treatments using supervised learning and provide herb details including the commonly grown areas of herbs using Google API. Heart diseases are predicted with an accuracy of over 86% and classified into four categories as Vataja, Pitaja, Kaphaja and Krimija. The proposed system provides a detailed report of the diagnosed Heart disease along with remedy treatments, diet plan and herbal plants along with locations where herbs can be found. At the end, `Wedaduru' will provide awareness in Ayurveda medicines and its values to common people.