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Patient Diabetes Forecasting Based on Machine Learning Approach

  • Arvind Kumar ShuklaEmail author
Conference paper
  • 31 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1154)

Abstract

In current scenario, machine learning plays an important role for forecasting diseases. The patient should passes through number of tests for diseases detection. This paper deals with the forecast of diabetes. The main idea is to predict the diabetic cases and find the factors responsible for diabetics using classification method. In this paper, an attempt has been made to integrating cluster and classification, which will gives a capable categorization result with highest accuracy rate in diabetes prediction using medical data with machine learning algorithms (such as logistic regression algorithms) and methods.

Keywords

Machine learning algorithm Diabetes disease Prediction Python 3.7 Scikit-learn PyCharm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.IFTM UniversityMoradabadIndia

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