Detection Of Heart Disease Using Decision Tree Technique - Shahid, Farhana;Rahman, Ubaid Ur
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This work is focused on the designing of Heart Disease Detection System by using Decision Tree technique to diagnose Heart Disease. Heart Disease Detection System has been designed to improve prediction diseases. Machine learning C4.5 Decision tree algorithm has been implemented for the extraction of rules from the real patient benchmark dataset. 13 attributes are used and disease is diagnosed. C4.5 algorithm used in this research is compared with ID3 algorithm by using weka tool.

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Produktbeschreibung
This work is focused on the designing of Heart Disease Detection System by using Decision Tree technique to diagnose Heart Disease. Heart Disease Detection System has been designed to improve prediction diseases. Machine learning C4.5 Decision tree algorithm has been implemented for the extraction of rules from the real patient benchmark dataset. 13 attributes are used and disease is diagnosed. C4.5 algorithm used in this research is compared with ID3 algorithm by using weka tool.
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Autorenporträt
Miss Farhana has completed Bachelors of Software Engineering from Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan in 2013. Her research work is focused on designing of Heart Disease Detection System by using Decision Tree technique of Data Mining.