Early detection of ovarian cancer has been potential to dramatically reduce mortality. Recently, the use of advanced data mining algorithms has been reported as a promising method to achieve this goal. Many researchers have been applying various algorithms and techniques like Classification, Clustering, Regression, Artificial Intelligence, Neural Networks, Association Rules, Decision Trees, Genetic Algorithm, Nearest Neighbour method etc., to help health care professionals with improved accuracy in the diagnosis of ovarian cancer. In our study we have used the TCGA ovarian cancer database
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This projects presents different approaches and techniques of data mining to watermark and study the results obtained . Various techniques have been implemented involving preprocessing, feature selection, classification and clustering to embed the watermark. These techniques have been implemented to identify the best approach in detection of ova…
prithesh07/Ovarian-Cancer-Detection-using-different-Data-Mining-Techniques-7th-october-2018
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This projects presents different approaches and techniques of data mining to watermark and study the results obtained . Various techniques have been implemented involving preprocessing, feature selection, classification and clustering to embed the watermark. These techniques have been implemented to identify the best approach in detection of ova…
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