A Study on Application of Data Mining in Ayurinformatics

Abstract

Ayurveda-the traditional medicine system of ancient India, which nourishes an individual's physical strength and intelligence along with maintaining a wonderful balance with the environment. Deviant to its nature, it has now become an inactive magnificence. Neither the research methodology nor the text book has changed over the past 50 years and paving way for the modern medicine system to progress. This work gives a convincing solution for Ayurveda to regain its lost glory with the incorporation of Information Technology, Data mining, Statistics and Bioinformatics, thus forming a new venture named Ayurinformatics. To prove this, relevant information's were collected from various literatures of Ayurveda and data mining algorithms. The findings reached by the implementation of data mining algorithms like k-Means algorithm, Canny Edge detection algorithm, Decision support systems, etc., for finding a better research methodology to identify a better treatment method, has made a significant cutback in both time and money than modern medicine system does. This was apparent by the identification of using methods like k-means algorithm to cluster ayurvedic medicines, prediction methods for Bronchial Carcinoma-a type of cancer, Canny Edge Detection Algorithm for Medicinal Plants Disease Identification and AVD with Transitive text mining algorithm for extracting ayurvedic texts from biological databanks. This work strongly enforces that Ayurinformatics gives a new way of life to Ayurveda with its innovative approach to research methodology and better treatment identification methods.

Ayurveda and Transdisciplinary Approaches: A Way Forward towards Personalized and Preventive Medicine

“…As a result, Ayurveda necessitates the development of Ayurinformatics to catch up with the modern world. The development of informatics technology that translates sequence data into knowledge relevant to diagnostic and therapeutic purposes could help with the further commercialization of sequence data [57] . Medical informatics is the study of data acquisition, storage, and its use in healthcare, usually through information technology.…”

How Data Mining is useful in Ayurveda

“…In this technique, major techniques used are knowledge acquisition and representation, machine learning, pattern recognition, code based reasoning, intelligent agents and neural networks. [4] From the eve of 1970's the GOI has made enormous attempts to standardize Ayurveda by formulating numerous qualifications for Ayurveda practitioners and necessitated accreditation policies to institutions across states. Some of the initiatives are, Indian Medical Central Council Act-framed in 1970, Central Council of Indian Medicine (CCIM) under the Department of Ayurveda, Yoga and Naturopathy, Unani, Siddha and Homoeopathy (AYUSH) established in 1971, Ministry of Health and Family Welfare-framed to monitor higher education in Ayurveda and Central Council for Research in Ayurvedic Sciences (CCRAS) designed to pursue research in Ayurveda.…”