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2nd International Conference on Materials Science and Sustainable Manufacturing Technology

A Review Paper on Identification of Ayurvedic Prakriti Types

Department of Computer Science & Technology, DCPE, H.V.P.M College, SGBAU, Amravati, India.

Online First : 07 June 2023
Publisher Name : AnaPub Publications, Kenya.
ISBN (Online) : 978-9914-9946-9-8
ISBN (Print) : 978-9914-9946-8-1
Pages : 169-172

Abstract


Human prakriti and tridosha are important for human health and fitness according to Ayurveda. A person's prakriti can be identified in Ayurveda in several ways. According to Ayurveda, every person born has five elements: earth, air, water, fire and space.We own distinctive balance of these five elements in assorted degrees. The balance of these elements is known as Tridosha. There are three basic doshas: Vata, Pitta and Kapha, and good health is considered a balance of these three doshas. Doctors evaluate these characteristics through examination and palpation to determine Prakriti in patients. The physician decides on diagnosis, primary prevention, and therapy based on the Prakriti of each individual. Prakriti assessment involves clinical examination including questions about physiological and behavioural traits. There is requirement to develop models correctly for predicting prakriti classes that have been used for foretell various diseases. Ayurvedic doctors examine the prakriti of a person either by accessing the physical features and or by inspecting the nature of their pulsation. Based on this investigation, they identify, prevent and cure disease in patients by prescribing medicine.This article looks at a comprehensive literature review based on three aspects: prakriti and tridosha, the physiological characteristics. Research gaps were also found based on the literature survey.

Keywords


Ayurveda, Prakriti, Tridosha, Physiological Features, Dominant, Vata, Pitta, Kapha.

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Cite this article


Swati Dhole and S.E. Yedey, “A Review Paper on Identification of Ayurvedic Prakriti Types”, Advances in Computational Intelligence in Materials Science, pp. 169-172, May. 2023. doi:10.53759/acims/978-9914-9946-9-8_26

Copyright


© 2023 Swati Dhole and S.E. Yedey. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.