An Improved Deep Learning Algorithm for Diabetes Prediction

View Sample PDF

Author(s): Basetty Mallikarjuna (Galgotias University, India), Supriya Addanke (Sri Padmavati Mahila Visvavidyalayam, India)and Anusha D. J. (Sri Padmavati Mahila Visvavidyalayam, India)
Copyright: 2022
Pages: 17
Source title: Handbook of Research on Advances in Data Analytics and Complex Communication Networks
Source Author(s)/Editor(s): P. Venkata Krishna (Sri Padmavati Mahila University, India)
DOI: 10.4018/978-1-7998-7685-4.ch007

Keywords: Data Analysis and Statistics / Information Science Reference / Media & Communications / Wireless Systems

Purchase

View An Improved Deep Learning Algorithm for Diabetes Prediction on the publisher's website for pricing and purchasing information.

Abstract

This chapter introduces the novel approach in deep learning for diabetes prediction. The related work described the various ML algorithms in the field of diabetic prediction that has been used for early detection and post examination of the diabetic prediction. It proposed the Jaya-Tree algorithm, which is updated as per the existing random forest algorithm, and it is used to classify the two parameters named as the ‘Jaya' and ‘Apajaya'. The results described that Pima Indian diabetes dataset 2020 (PIS) predicts diabetes and obtained 97% accuracy.

The IRMA Community

Research IRM

An Improved Deep Learning Algorithm for Diabetes Prediction

Purchase

Abstract

Related Content

IRMA Sponsors