A Survey Of Different Approaches Of Machine Learning In Healthcare Management SystemJournal: International Journal of Advanced Networking and Applications (Vol.11, No. 03)
Publication Date: 2019-12-10
Authors : Krishan Kumar Goyal; Aejaz Hassan Paray;
Page : 4270-4276
Keywords : Machine learning; Healthcare Management system; Artificial intelligence;
Machine Learning has become an important tool in day to day life or we can say it's a powerful tool in most of the fields which we want to automate. Machine Learning is used to develop algorithms which can learn from the data, which is either labeled, unlabeled or learn from the environment. Machine Learning is used in most of the fields and Especially in health care sector it takes much more benefits through proper decision and prediction techniques. Machine Learning in health care is a scientific study, so we have to store, retrieve and proper use of information, data and provide knowledge to the problems facing in the healthcare sector and also knowledge for the proper decision making. Due to these technologies there is a huge development in health care sectors over the years. For analysis of medical data, medical experts use the machine learning tools and techniques to identify the risks and to provide proper diagnosis and treatment. The paper is based on survey in terms of health care management system using different machine learning approaches and techniques.
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