Artificial Intelligence And Machine Learning Based System For Integrated Diagnosis Through Ayurveda And Modernmedicine

Abstract

The present invention relatesartificial intelligence and machine learning based system for integrated diagnosis through ayurveda and modern medicine.The health-related dataset is collected from different resources. The collected data is extracted and filtered with the relevant data that is required for the diagnosis. The common features such as questionnaires, extracting the features from medical reports are used during the diagnosis method of both Ayurveda and Modern Medicine is taken into consideration.The extracted data from different resources are filtered and trained on the common features of the disease diagnosis method of both Ayurvedic and Modern Medicine. The different Machine Learning algorithms like SVM, Ensemble Algorithm, Decision Tree, Logistic regression are used to analyze the datasets. The trained model is tested and validated with the database. With the precision value, the accuracy is tested by both the physicians, and a recommendation is given for the prescription. It must serve as a knowledge system tool for many medical practitioners, research scholars, drug companies. The advantage of integrating allopathy with the Ayurvedic medicines by choosing their pros and cons in their respective fields with the application of best technology like AI, ML, and Deep Learning, which gives the best information to start the treatment fast and more accurate. The modern technologies are needed in the medical field to explore the data and to use it in an effectively and an efficient way for the treatment of a particular disease. Integration of both medications from Ayurvedic and Modern medicine must involve using the best possible smart treatment based on the patient’s individual condition.

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