Abstract
Ayurveda is an ancient concept that believes in holistic healing using herbs. Ayurveda is made up of two words “Ayu” which means life and “Veda” which means knowledge. As per the Ayurveda “Tridosha” principle used for determining the “Prakriti” of a person. Prakriti is a composition of Panchmahabhutas (Five Elements) categorized into three doshas. If three doshas are balanced, then a person is healthy otherwise he/she is prone to diseases. Ayurveda recommends a specific diet, exercise, and medicine that can restore the balance in this Prakriti to provide health. Tridosha is the base concept in the Prakriti Nishchitikaran (Prakriti Certification) and has been studied for a long time; the quantitative reliability for Prakriti Nishchitikaran is studied in this research paper using supervised machine learning algorithms. This paper helps to identify the main Prakrities—“Vataj” (V), “Pittaj” (P), “Kaphaj” (K) and subtypes—“Vataj Pittaj” (VP), “Pittaj Kaphaj” (PK), “Vataj Kaphaj” (VK), and “Vataj Pittaj Kaphaj” (VPK).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Purandare VR, Prasad NB (2013) Correlation between ABO blood groups and tridoshas (ayurvedic biological constituents). Int J Ayurvedic Herbal Med 3(1):1053–1056
Junaid Farooque MM, Aref M, Khan MI, Mohammed S (2016) Data mining application in classification scheme of human subjects according to ayurvedic Prakruti—temperament. Ind J Sci Technol 9(13). https://doi.org/10.17485/ijst/2016/v9i13/84658
Tiwari P, Kutum R, Sethi T, Shrivastava A, Girase B, Aggarwal S et al (2017) Recapitulation of ayurveda constitution types by machine learning of phenotypic traits. PLoS ONE 12(10):e0185380. https://doi.org/10.1371/journal.pone.0185380
Chinthala R et al (2019) Ancient archives of deha-prakriti (human body constitutional traits) in ayurvedic literature: a critical review. Int J Res Ayurveda Pharm 10(3):18–26. https://doi.org/10.7897/2277-4343.10035
Gayatri G (2019) Classification of humans into ayurvedic prakruti types using computer vision. Master’s Projects 710. https://doi.org/10.31979/etd.dmwg-2nee
Madaan V, Goyal A (2020) Predicting ayurveda-based constituent balancing in human body using machine learning methods. IEEE Access 8
Sharma R, Prajapati PK (2020) Predictive, preventive and personalized medicine: leads from ayurvedic concept of Prakriti (human constitution). Curr Pharmacol Rep. https://doi.org/10.1007/s40495-020-00244-3
Bheemavarapu L, Usha Rani K (2021) A review on role of data science in ayurveda based disease diagnosis using Prakriti type in Trividha Pariksha, IT in industry 9(3):1038–1048. ISSN (Print): 2204-0595, ISSN (Online): 2203-1731
Rajasekar V, Krishnamoorthi S, Saračević M, Pepic D, Zajmovic M, Zogic H (2022) Ensemble machine learning methods to predict the balancing of ayurvedic constituents in the human body: ensemble machine learning methods to predict. Comput Sci 23(1). https://doi.org/10.7494/csci.2022.23.1.4315
Acknowledgements
We want to express our gratitude towards the domain experts of K. G. Mittal Hospital, Charni Road W, Mumbai, who helped us to understand the domain and guided us in questionnaire preparation and validation of it. We also thank our colleagues, friends, family members, and students of K. J. Somaiya and MET ICS who actively participated in the survey.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jamdaade, K.M., Patil, H.Y. (2023). Prakruti Nishchitikaran of Human Body Using Supervised Machine Learning Approach. In: Sharma, N., Goje, A., Chakrabarti, A., Bruckstein, A.M. (eds) Data Management, Analytics and Innovation. ICDMAI 2023. Lecture Notes in Networks and Systems, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-99-1414-2_16
Download citation
DOI: https://doi.org/10.1007/978-981-99-1414-2_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-1413-5
Online ISBN: 978-981-99-1414-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)