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.
Provided by: International Journal of Computer Science and Information Technologies Topic: Data Management Date Added: Apr 2012 Format: PDF

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