Keerthi, K. Laleeth and Sridevi, S. (2022) Big data analysis of traditional Indian Ayurveda medicine and treatment process. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.
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Prakriti (Human Body constitution) clearly defines harmony with human nature and cause for moving out of balance and experience disease. Basically, there are 3 energies called VATT, PITT, and KAPH which decides body function on physical and emotional levels. These 3 energies known as Tridosha. Few people may predominant in one or mixture of 2 or more. For the long time, Ayurveda Dosha have been utilized. However, these diagnostic methods actually lingers behind in quantitative unawaring quality estimations. A cautious and proper examination prompts a powerful treatment. This work review academic journal and conference papers which adopted Machine Learning (ML) techniques in Ayurveda based disease classification and diagnosis using public medical datasets published in recent years. The aftereffects of this review showed that the use of ML procedures in illness order has encountered an intense rise in recent years. The finding of this paper additionally uncovered that there was negligible spotlight on creating strategies utilizing steady form of ML procedures. We trust that this examination will give valuable data about different ML strategies, their application in illness conclusion, and especially help specialists for creating medical decision support networks with experiences into the best in class of improvement techniques.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Computer Science Engineering > Big Data |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 14 Sep 2024 06:12 |
Last Modified: | 14 Sep 2024 06:12 |
URI: | https://ir.vistas.ac.in/id/eprint/6007 |