UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2204442


Registration ID:
400801

Page Number

e304-e308

Share This Article


Jetir RMS

Title

Diabetes Prediction and Analysis Using Machine Learning with Security

Authors

Abstract

Diabetes mellitus may be a chronic sickness characterized by hyperglycemia. It’s going to cause many complications. Consistent with the growing morbidity in recent years, in 2040, the world’s diabetic patients can reach 642 million, which implies that one in all the 10 adults in the future is full of polygenic disorder. TherThera e queriesuery arising according to the data analyzed, it needs serious attention towards it. With the fast development of machine learning, machine learning has been applied to several aspects of medical health. During this study, we tea nd to a used decision tree, random forest, super vector machine, and logistic regression to predict diabetes mellitus. And the concept of privacy in deep learning plays an important role, as it's directly related to the disaster of distributed and multi-party models

Key Words

Machine learning, Diabetes Mellitus, Security, Prediction.

Cite This Article

"Diabetes Prediction and Analysis Using Machine Learning with Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e304-e308, April-2022, Available :http://www.jetir.org/papers/JETIR2204442.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Diabetes Prediction and Analysis Using Machine Learning with Security", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe304-e308, April-2022, Available at : http://www.jetir.org/papers/JETIR2204442.pdf

Publication Details

Published Paper ID: JETIR2204442
Registration ID: 400801
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: e304-e308
Country: Bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000304

Print This Page

Current Call For Paper

Jetir RMS