Ayurvedic Medicine-based Automated Machine Learning Approach for Determining the Nature of the Human Body

Abstract

Tridosha suggests the three fundamental energiesor decides that manage how the human body limits on a physical and significant level. The three energies are known as VATT, PITT, and KAPH. Despite the surprising amount of time that Ayurveda-dosha study has been utilised, a quantitative evaluation of these distinctive methodologies is now lacking. A thorough and definite assessment prompts a compelling treatment. The makers work out Cronbach alpha of VATT-Dosha, PITT-Dosha, and KAPH-Dosha as 0.94, 0.98, and 0.98,
independently, to assess the dataset’s constancy. The expertsfocused on 807 sound individuals developed 20 to 60 and observed that 62.1 percent were men and 37.9% were women. To set upthe model for request examination, customary AI estimations likeArtificial Neural Network (ANN), K-Nearest Neighbor (KNN), Support Vector Machine (SVM), Nave Bayes (NB), and Decision Tree are utilized (DT). The system uses a mix of AI estimations tosee constitutions. As portrayal assessment measures, root mean square misstep (RMSE), precision, audit, F-score, and not entirelysettled and reviewed