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Vol. 4, Sept  Issue  Paper Submission  Deadline : 20th  December 2019...

Vol. 4,  Special Issue(Bi-yearly) -  Paper Submission  Deadline: 20th  December 2019


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ASURVEY ON IMPROVING THE PERFORMANCE OF CANCER AND DIABETES DETECTION BY USINGNOVEL TECHNIQUE OF MACHINE LEARNING  

Abstract

ABSTRACT: The system allows the user to make a use of algorithms to predict the risk of diabetes mellitus in human body. The
various classification models such as Decision Tree, artificial Neural Networks, Logistic Regression, Association rules and
Naive Bayes are used in this system. Then the Random Forest technique is used to find the accuracy of each model in the
system. The dataset used is the Pima Indians Diabetes Data Set, which has the information of patients, some of them have
developing diabetes therefore, this project is aimed to create a mobile application for predicting a person’s class whether
present in of the diabetes and cancer risk or not.
Keywords: Decision tree, ANN, Health-Care
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Organized  National Conference on  SUSTAINABLE SOLID WASTE MANAGEMENT (SSWM)

@ AMITY SCHOOL OF ENGINEERING & TECHNOLOGY

Department of Civil Engineering,

Amity University Haryana,


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  CSEEEC-2019       

  National Computer Science ,Electronics, Electrical  Engineering Conference 



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