General Framework for Biomedical Knowledge With Data Mining Techniques
| ||International Journal of Computer Trends and Technology (IJCTT)|| |
|© - May Issue 2013 by IJCTT Journal|
|Volume-4 Issue-5 |
|Year of Publication : 2013|
|Authors :B.Madasamy, Dr.J.Jebamalar Tamilselvi|
B.Madasamy, Dr.J.Jebamalar Tamilselvi"General Framework for Biomedical Knowledge With Data Mining Techniques "International Journal of Computer Trends and Technology (IJCTT),V4(5):1485-1491 May Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract: - Data mining is the process which automates the extraction of predictive information discovers the interesting knowledge from large amounts of data stored in information repositories. Biomedical informatics (BMI) is the science underlying acquisition, maintenance, retrieval, collecting, manipulating, and analysing the biomedical knowledge and information to improve medical data analysis, problem solving, and decision making, inspired by efforts toward progress in medical domain. In this research work a comprehensive framework will be generated which comprises of various data mining techniques and evaluate meaningful information from biomedical data. Data mining field will be applied to biomedical data to analyze the characteristics, identify patterns of interest, for diagnosing and predicting patients` health. These proposed biomedical data mining framework useful to the scholars who are interested in the related researches of data mining and medical domain.
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Keywords — Data mining, Biomedical, Framework, Knowledge Discovery.