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Surveillance of heart Disease Using Rattle Data Mining Tool

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dc.contributor.advisor Prof. Sumanta Guha (Chairperson)
dc.contributor.author Talukdra, Jyotismita
dc.contributor.other Dr. Vatcharaporn Esichaikul (Member) Dr. Raphael Duboz (Member)
dc.date.accessioned 2015-01-29T03:23:29Z
dc.date.available 2015-01-29T03:23:29Z
dc.date.issued 2013-05
dc.identifier.other AIT RSPR no.CS-13-04 en_US
dc.identifier.uri http://www.cs.ait.ac.th/xmlui/handle/123456789/710
dc.description.abstract Diagnosis of diseases from the database available is one of the vital and intricate jobs in medicine. With the advent of time, people are becoming more and more vulnerable to several diseases due to several reasons. One of the most frequently found disease all across the globe is the heart disease. In this research study, our main aim is to make the most of knowledge and experience of several specialists and data of patients suffering from heart diseases. In this study we shall look into the most probable factors that may be responsible for a person suffering from heart disease. The whole process of data mining is being carried out on the data available for the patients suffering from heart disease. Rattle data mining tool is being used for performing the tasks of analyzing the data of the heart patients. The data is being loaded into the software and then it is partioned into training and testing datasets. The next steps namely clustering and modeling is performed on the training datasets whereas the testing dataset is used to obtain the unbiased errors. We also find out the correlation of the attributes being used in the research study. In this research study not only we test the relationship of several attributes of the datasets of the heart patients but we also give a detailed explanation of the rattle data mining tool. en_US
dc.description.sponsorship AIT Fellowship en_US
dc.publisher AIT en_US
dc.subject Data mining, Rattle data mining tool, Heart disease, Correlation, Clustering, Apriori algorithm, Decision tree and Ada - Boost modeling. en_US
dc.title Surveillance of heart Disease Using Rattle Data Mining Tool en_US
dc.type Research Report en_US

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