UGC Approved Journal no 63975

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107705


Registration ID:
313117

Page Number

f656-f661

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Title

Diabetic Prediction using Machine Learning Techniques

Abstract

Diabetes mellitus is a common disease of human body caused by a group of metabolic disorders where the sugar levels over a prolonged period is very high. It affects different organs of the human body which thus harm a large number of the body's system, in particular the blood veins and nerves. Early prediction in such disease can be controlled and save human life. To achieve the goal, this research work mainly explores various risk factors related to this disease using machine learning techniques. Machine learning techniques provide efficient result to extract knowledge by constructing predicting models from diagnostic medical datasets collected from the diabetic patients. Extracting knowledge from such data can be useful to predict diabetic patients. In this work, we employ three popular machine learning algorithms, Naive Bayes (NB), K-Nearest Neighbor (KNN) and Decision Tree (DT), on adult population data to predict diabetic mellitus. Naïve bayes, KNN for diabetic disease prediction and Decision tree is used for time prediction i.e., for how long patient will not be affected by the diseases. Our experimental results show that Naive Bayes achieved higher accuracy compared to KNN.

Key Words

Diabetes, KNN, Naïve Bayes, Decision Tree, Machine Learning Algorithms

Cite This Article

"Diabetic Prediction using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.f656-f661, July-2021, Available :http://www.jetir.org/papers/JETIR2107705.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

"Diabetic Prediction using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppf656-f661, July-2021, Available at : http://www.jetir.org/papers/JETIR2107705.pdf

Publication Details

Published Paper ID: JETIR2107705
Registration ID: 313117
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: f656-f661
Country: Mysore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162


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