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Project Details:
Project Title : Data mining tools in medical decision support systems
Category : Engineering Projects
Sub-Category : IT
Suitable For : Fresher
Technologies : C
Envirnoment : Win XP
Project Period : 3-months
Project Description : Decision Support Systems (DSS) are "Highly interactive computer-based systems that help decision makers utilize data and models to solve semi-structured problems." The decision knowledge emerges from the quantified data using statistical and data mining tools. Data mining looks for new relationships and trends in data, which are not explicitly declared. Trends and relationships help decision maker’s better understanding of the current scenario to take effective decisions. In this study, the unsupervised clustering methods are examined to develop a medical diagnostic system and the fuzzy c-means clustering is used to assign patients to the different clusters of Childhood acute lymphoblastic leukemia disease. The performance of the Fuzzy C-means algorithm is compared with the k-means clustering algorithm for classification performance. This study shows that fuzzy clustering methods are better than other clustering methods and can be an important supportive tool for the medical experts in the diagnosis process.


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Published at 23-08-2012
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