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Predicting the Diabetes using Duo Mining Approach
V.V.Jaya Rama Krishnaiah, D.V.Chandra Sekhar, Dr. K.Ramchand H Rao, Dr. R Satya Prasad
Associate Professor, Dept of Computer Science, ASN COLLEGE, Tenali, India Associate Professor, Dept of Computer Science, TJPS College, Guntur,India Professor, Department of CSE, ASN college of Engineering, Tenali, India Associate Professor, Department of CSE, Acharya Nagarjuna University, Guntur, India
Abstract: The amount of information related to biomedical databases is growing so rapidly that the rate at which researchers can convert it into knowledge cannot keep in pace. In this information age it is easy to store large amounts of data electronically, but the proliferations of documents available are structured and unstructured form. We need a tool to extract information and identification of the key concepts from biomedical documents and Bio-medical databases. Duo Mining is a proposed tool, which mines the data from diabetic type bio-medical documents and databases and converts into the knowledge format, and this paper suggests Data mining architecture in addition with Knowledge discovery process.
Keywords: Duo mining, Type1 Diabetics, Data Mining, Text mining, Biomedical Literature
Keywords: Duo mining, Type1 Diabetics, Data Mining, Text mining, Biomedical Literature
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This work is licensed under a Creative Commons Attribution 4.0 International License.How to Cite:
[1] V.V.Jaya Rama Krishnaiah, D.V.Chandra Sekhar, Dr. K.Ramchand H Rao, Dr. R Satya Prasad, βPredicting the Diabetes using Duo Mining Approach,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)