PurposeData Mining In Healthcare USF Health Online xmlns=" viewBox="0 0 1" />
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May 07, 20160183322. Attract healthcare providers who have access to interesting sources of data and problems but lack the expertise in data mining to use the data effectively. 3. Enhance interactions between data mining, text mining and visual analytics communities working on problems from medicine and healthcare.
veillance of healthcare data is presented. Data mining is compared with traditional statistics, some advantages of automated data systems are identified, and some data mining strategies and algorithms are described. A concrete example illustrates steps involved in the data mining process, and three successful data min
HOW CAN DATA MINING HELP IN HEALTHCARE SECTOR. Data mining is an extremely important step in the healthcare industry for keeping us healthier. With data mining, the data is sorted and any sort of future illness can be predicted which can easily help in treating the patients.
data mining in the profession of health and the medical practise in general. 1.2 Objectives The objectives of this paper are the following 1. To enumerate current uses and highlight the importance of data mining in medicine and public health, 2. To find data mining techniques used in other fields that may also be applied in the health sector. 3.
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