Abstract
Few years ago, the information flow in health care field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. There has already been a long standing tradition for computer-based decision support, dealing with complex problems in medicine such as diagnosing disease, managerial decisions and assisting in the prescription of appropriate treatment. Today, one of the biggest challenges that health care system, face is the explosive growth of data, use this data to improve the quality of managerial decisions. Web mining and Data mining techniques are analytical tools that can be used to extract meaningful knowledge from large data sets. This paper addresses the applications of web mining and data mining in health care management system to extract useful information from the huge data sets and providing analytical tool to view and use this information for decision making processes by taking real life examples. Further we propose the IDSS model for the health care so that exact and accurate decision can be taken for the removal of a particular disease.
Highlights
In modern world a huge amount of data is available which can be used effectively to produce vital information
Particular disease in a particular area and it will be related with the agriculture of the particular area so that we can predict prone of particular disease in a particular area due to excessive use of pesticides and fertilizer in a particular agricultural area
Web mining as well as Data Mining has become the area of growing significance because it helps in analyzing data from different perspectives and summarizing it into useful information
Summary
In modern world a huge amount of data is available which can be used effectively to produce vital information. Web mining as well as Data Mining (sometimes called data or knowledge discovery) has become the area of growing significance because it helps in analyzing data from different perspectives and summarizing it into useful information. There are increasing research interests in using web mining and data mining in health care or web based health care management This new emerging field, called health care Web mining, concerns with developing methods that discover knowledge from data come from medical environments [1]. Health care data mining used many techniques such as decision trees, neural networks, k-nearest neighbor, naive bayes, support vector machines and many others. Using these methods many kinds of knowledge can be discovered such as association rules, classifications and clustering. The steps identified in extracting knowledge from data are: Knowledge
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