Intelligent Data Mining in Autonomous Heterogeneous Distributed Bio Databases
Due to the revolutionary change in data mining and bio-informatics, it is very useful to use data mining techniques to evaluate and analyze bio-medical data. In this paper, the authors purpose a framework for intelligent data mining system for bio databases especially for diabetic patients depending on their medical test reports. The bio-databases are framed based on the various characteristics involved within the patient suffering with diabetes like: genetic category, disease type, country, food habits. System first extracts the relevant, useful, valid and actionable data from bio databases. Bio databases is often autonomous heterogeneous and distributed in nature.