eAyurvedic Disease Screening and Remedy Analysis Solution
Heart disease is one of the most common diseases worldwide. According to Ayurveda, behavior of humans associated with food habits are root causes of heart diseases. This research focuses on providing a diagnostic tool for heart diseases through a web- based application, where the diagnosis will be directed through the practices of Ayurveda. The proposed web-based solution `Wedaduru’ uses artificial intelligence (AI), which analyses the physical appearance of the patient through image processing, and symptoms using a model with questionnaires. Thereby, the solution/application identifies remedies and treatments using supervised learning and provide herb details including the commonly grown areas of herbs using Google API. Heart diseases are predicted with an accuracy of over 86% and classified into four categories as Vataja, Pitaja, Kaphaja and Krimija. The proposed system provides a detailed report of the diagnosed Heart disease along with remedy treatments, diet plan and herbal plants along with locations where herbs can be found. At the end, `Wedaduru’ will provide awareness in Ayurveda medicines and its values to common people. eAyurvedic Disease Screening and Remedy Analysis Solution
Ayurveda is an ancient holistic treatment method with its origins in India and Sri Lanka. Ayurvedic herbal medicine (plant roots, barks, wood, fresh leaves and extracts, gemstones and minerals) is the old Tridoshas, holistic medical preparation. One of the fundamental beliefs of Ayurveda is the doctrine of “Tri dosha” or the three vital forces – Vata (Wind: Transmission of energy, such as nerve impulses, muscles contractions), Pita (Bile: Whole scope of metabolism and internal heat production) and Kapha
(Phlegm: which is mucus). Ayurvedic medicine believes that heart diseases are due to the imbalance of these three doshas (Vata, Pitta, and Kapha) and bringing the levels of these to normalcy will be a major step in managing the combatting of heart diseases.
Ayurvedic medicine mainly focuses on the Ayurvedic herbal plants and their Ayurvedic medicinal value. The University of Ruhuna has investigated about Ayurvedic plants with their usages, existence, scientific names and local names. These researchers came up with a database including those information to be used among Ayurvedic doctors and Ayurvedic medical students
The researchers were able to gather data via a survey where the objective was to find out the level of Ayurveda knowledge among people. With around 235 responses, the survey concluded that most of the people aren’t aware of Ayurvedic treatment as only 27.2% people preferred to undergo Ayurveda treatment; however, 91.1% of people wish to have access to Ayurveda remedies at their fingertips. This
solution starts with an image upload of a patient, which is used to check the Prakriti based on physical appearance of a particular patient and a questionnaire is used to determine the Prakriti based on behavioral and psychological features. The data will then be used in the AI-based diagnosis element to
analyze the disease and, decide the suitable treatments accompanied by a human model. This is to facilitate users to select areas of the body under pain and answer a questionnaire to analyze other symptoms. The patient can enter the information of a pre-generated report and an AI base
diagnosis process will recommend the exact remedies to the patient. The system will provide sufficient information to identify a medicinal plant. A patient can know about medicinal plants and their medicinal values, areas where those plants are available and grown. For future business purposes, this system can be integrated with a mobile application, where the patient can use this application as an Ayurvedic assistant. Accordingly, the proposed system will recognize and encapsulate intelligence and wisdom flows from multiple sources to one
This system has been tested in various situations and is capable of providing the most reliable output with an 86% accuracy to the user, in determining the incident of a heart disease. Currently operating in English language, the Wedaduru application can be. further extended to include native languages such as Sinhala and Tamil. Since this system is designed only as a web application, later, it can be
improvised to a mobile application with the same functionality and content. Further, if the user ends up with doubts and seeks clarifications regarding these treatments and procedures, this application could be facilitated for consultation with Ayurveda students and Ayurveda doctors