Diagnosis of Diabetes Using Clinical Decision Support System

  • N. ManagathayaruEmail author
  • B. Mathura Bai
  • G. Sunil
  • G. Hanisha Durga
  • C. Anjani Varma
  • V. Sai Sarath
  • J. Sai Sandeep
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1090)


Medicinal services are one of the prime worries of each individual. This work deals with diabetes, an incessant illness which is exceptionally regular throughout the world. Administration of such complex ailments requires proper diagnosis for which efficient analysis is required. So, extracting the diabetes reports in productive way is an essential concern. The Pima Indian Diabetes Data Set is used for this project, which accumulates the data of individuals who are affected and not affected by diabetes. The work goes for discovering solutions to analyze the illness by looking at patterns found in the information through classification analysis. The altered J48 classifier is applied to enhance the precision rate before which preprocessing and feature selection have been done as this prompts to decisions which are more accurate. The research would like to promote an agile and more proficient method of diagnosing the malady, prompting better treatment of the patients.


Clinical decision support system J48 decision tree Diabetes Missing values Normalization Feature selection 



The proposed research work has been funded under DRDO-LSRB (DRDO-Life Science Research Board)—No. CC R&D (TM)/81/48222/LSRB-284.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • N. Managathayaru
    • 1
    Email author
  • B. Mathura Bai
    • 1
  • G. Sunil
    • 1
  • G. Hanisha Durga
    • 1
  • C. Anjani Varma
    • 1
  • V. Sai Sarath
    • 1
  • J. Sai Sandeep
    • 1
  1. 1.Department of Information TechnologyVNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia

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