Ayurvedic Diagnosis A Machine Learning Based Medication System

Abstract

The widespread adoption of digital health technology has made available preliminarily health information in new ways. This study describes a web-based health application that applies machine learning techniques to identify diseases which emerge from symptoms provided by users in addition to Ayurvedic medicine. The proposed system employs Support Vector Machine (SVM) and ID3 Decision Tree algorithms for classifying diseases in relation to reported symptoms. The application has been programmed utilizing Python and Flask along with HTML and CSS being used for making an interface on SQLite/MySQL systems. The application retains a browser history for the users and makes use of a module system which can be enlarged with additional algorithms and databases. The aim of the system is to achieve preliminary diagnostic assessment and not be a replacement for real diagnosis or treatment procedures. The proposed framework allows the researcher to use modern methodologies along with traditional medicine. Further research on the use of larger and more varied datasets is planned along with the assessment of the safety and reliability of Ayurvedic medicine recommendations.