Machine Learning Models Used For Prakriti Identification Using Prasna Pariksha In Ayurveda – A Review

Abstract

Machine Learning (ML) helps in automating manual works.   Work automation is done by developing ML models based on existing data as per the requirement.   ML models are also helping healthcare domain experts in different aspects.  The traditional medical system of Ayurveda is using ML models to understand human nature, to identify the root cause of a disease, to know the type of disease, and to automate specialized treatment plans.  Identification of the Prakriti or the body constitution of a person is the first step in the system of Ayurveda.  Based on Prakriti, disease diagnosis is performed and required personalized treatment is provided.  Prasna Pariksha is one of the parikshas that is used to assess the Prakriti of a person.  Development of a ML model for Prakriti identification using Prasna Pariksha helps individuals as well as Ayurvedic practitioners.  These models help individuals to know their body nature and to change their diet and lifestyle in order to lead a healthy life. These models also assist Ayurvedic practitioners in disease diagnosis and treatment.  This article is presenting a review on the ML models developed using Prasna Pariksha for Prakriti identification.