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Prediction of Celiac Disease Using Machine-Learning Techniques

  • Agrima MehandirattaEmail author
  • Neha Vij
  • Ashish Khanna
  • Pooja Gupta
  • Deepak Gupta
  • Ayush Kumar Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1087)

Abstract

In the twenty-first century, there has been remarkable progress in the integration of technology into the world of medicine. Further, advancements in medicine and technology have produced a surge of data related to various fields. Data Mining is an effort to not let this huge amount of data go wasted and use it to reveal better and precise targeted decisions instead. Data mining and machine-learning hold great potential for the healthcare sector as they can be used to remove the inefficiencies as well as vastly reduce healthcare costs. Celiac Disease is one of the most common diseases found in the current population. Patients suffering from Celiac disease cannot consume gluten without having an adverse effect on their health. Less awareness also usually results in late detection of the disease. The presented exposition explores the prediction of Celiac Disease through a medical dataset. Computer-based prediction could help in early detection of Celiac Disease in patients and give them a better chance at having a normal life. Further, it also scrutinizes the possible effects that the presence of Type 1 Diabetes, Type 2 Diabetes, Autoimmune Thyroid Disease, and Non Autoimmune Thyroid Disease have on the occurrence of Celiac disease. On the available data set, selective machine-learning techniques have been applied to achieve optimal accuracy.

Keywords

Celiac disease Data mining Machine-learning Diabetes 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Agrima Mehandiratta
    • 1
    Email author
  • Neha Vij
    • 1
  • Ashish Khanna
    • 1
  • Pooja Gupta
    • 1
  • Deepak Gupta
    • 1
  • Ayush Kumar Gupta
    • 2
  1. 1.Maharaja Agrasen Institute of TechnologyNew DelhiIndia
  2. 2.AgVa HealthcareNoidaIndia

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