research journal
INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Journal)
ISSN: 2321-9939

Current Issue

Call For Papers
June 2020

Volume 8 | Issue 2
Last Date : 29 June 2020
Review Results: Within 12-20 Days

For Authors

Archives

Indexing Partner

Research Area

LICENSE

Facts & Figures

Paper Details
Paper Title
An Analysis On Comparitive Study Of Diabetic Prediction Using Machine Learning
Authors
  Abhinav Sengar

Abstract
Nowadays, diabetes has become a typical disease to the mankind from young to the old persons. The expansion of the diabetic patients is increasing day-by-day because of various causes like toxic or chemical contents mix with the food, obesity, bad diet, change in lifestyles, eating habit etc. Therefore, diagnosing the diabetes is extremely essential to save human lives. The information analytics can be defined as a process of examining and identifying the hidden patterns from great amount of information to draw conclusions. In health care, this analytical process is carried out using machine learning algorithms which analyzes medical data in order to use the machine learning models for medical diagnoses. In this paper, we have evaluated comparative study of different machine learning classifications algorithms for predicting diabetes more accurately. In this research work, we are analyzing the accuracy of different algorithms like: Linear Discriminant Analysis, Random Forest Classifier, Decision Tree Classifier, MLP Classifier in order to identify best classifier.

Keywords- Diabetes Prediction, Machine Learning Techniques: Data pre-processing, Linear Discriminant Analysis, Random Forest Classifier, Decision Tree Classifier, MLP Classifier.
Publication Details
Unique Identification Number - IJEDR2001082
Page Number(s) - 434-437
Pubished in - Volume 8 | Issue 1 | January 2020
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Abhinav Sengar,   "An Analysis On Comparitive Study Of Diabetic Prediction Using Machine Learning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 1, pp.434-437, January 2020, Available at :http://www.ijedr.org/papers/IJEDR2001082.pdf
Share This Article


Article Preview

ISSN Details




DOI Details



Providing A digital object identifier by DOI
How to get DOI?

For Reviewer /Referral (RMS)

Important Links

NEWS & Conference

Digital Library

Our Social Link

Open Access

This material is Open Knowledge
This material is Open Data
This material is Open Content
© Copyright 2020 IJEDR.ORG All rights reserved