A Comparative Analysis on the Evaluation of KNN and SVM Algorithms in the Classification of Diabetes

AF Limas, R Rosnelly, H Hartono… - Scientific Journal of …, 2023 - journal.unnes.ac.id
Purpose: Diabetes has received a great deal of attention in medical research because of its
profound effect on human health. Many factors cause this disease in the human body. Can …

[PDF][PDF] Diabetes mellitus prediction using classification techniques

AS Hassan, I Malaserene, AA Leema - Int. J. Innov. Technol. Explor …, 2020 - academia.edu
Diabetes is a metabolic disease affecting people in almost every country and it may lead to
severe problems like stroke, kidney failure or premature death if it is not predicted at the …

[PDF][PDF] Performance Evaluation of Various Supervised Machine Learning Algorithms for Diabetes Prediction

JR Raut, Y Sharma, VD Shinde - European Journal of Molecular & …, 2020 - sdsmcollege.in
Diabetes is a chronic disease, causes due to increasing high level of sugar in blood and it
directly impact on human body organs. When level of sugar increase in blood, body doesn't …

Comparative analysis of different classifiers using machine learning algorithm for diabetes mellitus

SK Sharma, A Priyadarshi, SK Mohapatra… - … on Metaheuristics in …, 2022 - Springer
Due to hazardous situations, diabetes is common for both youngsters and the elder which
affects both psychologically and physical illness. Diabetes increases the sugar scale levels …

[PDF][PDF] Analyzing diabetic data using classification algorithms in data mining

K Saravananathan… - Indian Journal …, 2016 - sciresol.s3.us-east-2.amazonaws …
Abstract Backgrounds/Objectives: Huge medical datasets available in various data
repositories which are used for real world applications. To visualize the useful information …

GA_SVM: A classification system for diagnosis of diabetes

DK Choubey, S Paul - Handbook of research on soft computing and …, 2017 - igi-global.com
The modern society is prone to many life-threatening diseases which if diagnosis early can
be easily controlled. The implementation of a disease diagnostic system has gained …

Analysis of Pima Indian Diabetes Using KNN Classifier and Support Vector Machine Technique

VK Kalaiselvi, H Shanmugasundaram… - 2022 Third …, 2022 - ieeexplore.ieee.org
Diabetes has become a common disease and there are millions of people suffering from
diabetes all over the world, of which women are most affected by this disease. It is most …

Prediction of diabetes using data mining techniques

V Mareeswari, R Saranya… - Research Journal of …, 2017 - indianjournals.com
Diabetes mellitus is one of the world's major diseases. Millions of people are affected by the
disease. The risk of diabetes is increasing day by day and is found mostly in women than …

Prediction of diabetes using machine learning: analysis of 70,000 clinical database patient record

SM Kuriakose, PB Pati, T Singh - 2022 13th International …, 2022 - ieeexplore.ieee.org
Diabetes is a disease that occurs when the blood glucose level or blood sugar level meets
high values. The level of sugar is increased in the human body is due to several factors like …

[PDF][PDF] Data mining algorithms application in diabetes diseases diagnosis: A case study

M Farahmandian, Y Lotfi, I Maleki - MAGNT Res. Rep., 2015 - academia.edu
Suitable diagnosis and selection of appropriate ways of treatment for people who are
afflicted with diabetes are of great importance since ignorance in remedying diabetes can …