Analysis of Pitta Imbalance in young Indian adult using Machine Learning Algorithm

Abstract

Agni is a vital component of the body's physiological function. Individuals' physical constitutions depended on summer, fall, winter, spring seasons, age and other factors all influence this. The Prakriti, which is concerned with physical and psychological development, determines the uniqueness of everyone. The Prakriti has an immediate effect on Vata, Pitta and Kapha. This paper proposes the pitta imbalance evaluation using machine learning algorithm. The proposed method provides novelty in analyzing pitta dosha with real time pitta datasets and machine learning algorithms. Vata-pitta prakriti impacts with lifestyle changes which have been evaluated in this proposed method. The Support Vector Machine (SVM) used for evaluation of pitta dosha. Authors taken 152 healthy persons for analyzing their tri-dosha, age group of 18–22 years, 72.4% boys and 27.6% girls.