文章基本信息

标题：General Framework for Biomedical Knowledge With Data Mining Techniques
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作者：B.Madasamy ; Dr.J.Jebamalar Tamilselvi
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：5-5
出版社：Seventh Sense Research Group
摘要：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.
关键词：Data mining; Biomedical; Framework; Knowledge Discovery