文章基本信息

标题：Taxonomy Of Data Mining And Machine Learning Approaches For Healthcare Systems
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作者：N.SATYANANDAM ; DR. CH.SATYANARAYANA
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：2
出版社：S&S Publications
摘要：This article present the classification of data mining and machine learning approaches for healthcare systems. Machine Learning (ML) field has gained its thrust in any do main of research and now recently has become a reliable utensil in the medical domain. The pragmatic sphere of automatic learning is used in various levels such as medical decision support, medical imaging, extraction of medical knowledge and for overall patient management care. ML is envisioned as a tool b y which co mputer-based systems can be integrated in the healthcare field in order to get a better, well organized therapeutic mind. It describes a ML based methodology for building an application that is capable of identifying and disseminating healthcare information. Moreover our methodology will extract sentences from published medical papers that mention diseases and treatments and identifies semantic relations that exist between diseases and treatments. Here in this manuscript we also discussed a comprehensive outline of data mining and machine learning approaches for healthcare systems.
关键词：Data Mining; Machine Learning; Knowledge Management; Healthcare Systems