International Journal of Computer
Trends and Technology

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Volume 4 | Issue 5 | Year 2013 | Article Id. IJCTT-V4I5P99 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I5P99

General Framework for Biomedical Knowledge With Data Mining Techniques

B.Madasamy, Dr.J.Jebamalar Tamilselvi

Citation :

B.Madasamy, Dr.J.Jebamalar Tamilselvi, "General Framework for Biomedical Knowledge With Data Mining Techniques," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 5, pp. 1485-1491, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I5P99

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.

Keywords

Data mining, Biomedical, Framework, Knowledge Discovery.

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