Data Mining application in classification scheme of human subjects according to ayurvedic prakruti - temperament

Abstract

Objective: To identify, and apply data mining technique in classification of human subjects according to ayurvedic principles of dosha prakruti. Method/Analysis: The data of 67 healthy subjects of both genders has been collected using traditional prakruti questionnaire. There were 37 parameters. The collected data was analyzed using data mining techniques. Various Classification algorithms were applied and to develop a model to predict the human Prakruti. Finding: The classification model built and tested was found to predicting the prakruti with great deal of accuracy. This model can be integrated in health information system. Although this will not replace the human judgment but will definitely reduce the effort and time. Applications/Improvements: Modern technique of artificial intelligence has been applied to ancient science of Ayurveda, which can help medical informatics researcher, alternative medicine Practitioners to adopt appropriate strategy in clinical decision making and Personalized medication.