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As a new concept that emerged in the middle of 1990’s, data mining can help researchers gain both novel and deep insights and can facilitate unprecedented understanding of large biomedical datasets. Data mining can uncover new biomedical and healthcare knowledge for clinical and administrative decision making as well as generate scientific hypotheses from(More)
PURPOSE Patients are increasingly interested in using Internet-based technologies to communicate with their providers, schedule clinic visits, request medication refills, and view their medical records electronically. However, healthcare organizations face significant challenges in providing such highly personal and sensitive communication in an effective(More)
Data mining can help researchers to gain novel and deep insights for understanding of large datasets. Nowadays, people are using data mining algorithms in different contexts like banking, hospitals, marketing etc. Classification algorithm plays a vital role. In the study, we found that SVM is the best classifier amongst all the classifiers. Here we used(More)
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