UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2203280


Registration ID:
321243

Page Number

c629-c633

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Title

Comparison of three Machine learning Models for Diabetes Prediction

Abstract

Diabetes is a sickness caused on account of high glucose level in a human body. Diabetes ought not be disregarded on the off chance that it is untreated, Diabetes might cause a few significant issues in an individual like: heart related issues, kidney issue, pulse, eye harm and it can likewise influences different organs of human body. Diabetes can be controlled assuming it is anticipated before. To accomplish this objective this venture work we will do early expectation of Diabetes in a human body or a patient for a higher precision through applying, Various Machine Learning Techniques. AI methods Provide better outcome for forecast by developing models from datasets gathered from patients. In this work we will utilize Machine learning methods on a dataset to foresee diabetes. Which are Decision Tree (DT), Support Vector Machine (SVM) and Random Forest (RF). The precision is distinctive for each model when contrasted with different models. The Project work gives the precise or higher exactness model shows that the model is fit for anticipating diabetes successfully.

Key Words

Diabetes, Machine, Learning, Prediction, Dataset

Cite This Article

"Comparison of three Machine learning Models for Diabetes Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.c629-c633, March-2022, Available :http://www.jetir.org/papers/JETIR2203280.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

"Comparison of three Machine learning Models for Diabetes Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppc629-c633, March-2022, Available at : http://www.jetir.org/papers/JETIR2203280.pdf

Publication Details

Published Paper ID: JETIR2203280
Registration ID: 321243
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: c629-c633
Country: DHAMTARI, CHHATTISGARH, India .
Area: Medical Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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