抽象的な

TAXONOMY OF DATA MINING AND MACHINE LEARNING APPROACHES FOR HEALTHCARE SYSTEMS

N.Satyanandam, Dr.Ch.Satyanarayana

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 domain 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 by which computer-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.