International Journal of Advances in Applied Sciences
Vol 9, No 2: June 2020

Disease prediction in big data healthcare using extended convolutional neural network techniques

Asadi Srinivasulu (Sree Vidyanikethan Engineering College)
Asadi Pushpa (Sree Vidyanikethan Engineering College)

Article Info

Publish Date
01 Jun 2020

Abstract

Diabetes Mellitus is one of the growing fatal diseases all over the world. It leads to complications that include heart disease, stroke, and nerve disease, kidney damage. So, Medical Professionals want a reliable prediction system to diagnose Diabetes. To predict the diabetes at earlier stage, different machine learning techniques are useful for examining the data from different sources and valuable knowledge is synopsized. So, mining the diabetes data in an efficient way is a crucial concern. In this project, a medical dataset has been accomplished to predict the diabetes. The R-Studio and Pypark software was employed as a statistical computing tool for diagnosing diabetes.  The PIMA Indian database was acquired from UCI repository will be used for analysis. The dataset was studied and analyzed to build an effective model that predicts and diagnoses the diabetes disease earlier.

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Journal Info
International Journal of Advances in Applied Sciences
Website

Abbrev

IJAAS

Publisher

Institute of Advanced Engineering and Science

Subject

Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

Description

International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and ...