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Analysis of Diabetes for Indian Ladies Using Deep Neural Network

  • Saumendra Kumar Mohapatra
  • Mihir Narayan Mohanty
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

Diabetes is a common disease in recent years. Almost 50–60% of human being in the society suffer from diabetes respective of new born baby to elderly people including male and female. Due to the food habits and stressful life the disease occurs as per the suggestion of the physicians. Also it is found that for most of the cases the disease is hereditary. In this work authors have considered the Indian ladies for this disease analysis. Proper diagnosis requires accurate measurement that helps the ladies to give birth the healthy children. The data has been collected from PIMA Indian Diabetes database and are analyzed. As the database has vast the concept is based on Data Mining techniques and Big data analysis. Deep Neural Network (DNN) is used to analyze the data and disease. The result for different data set is shown in the result section. The measurement is done based on Root mean square error (RMSE).

Keywords

KDD Data mining Healthcare data mining Deep neural network Root mean square error 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Saumendra Kumar Mohapatra
    • 1
  • Mihir Narayan Mohanty
    • 1
  1. 1.Department of Electronics and Communication EngineeringSiksha ‘O’ Anusandhan UniversityBhubaneswarIndia

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