Application of ANN, SVM and KNN in the Prediction of Diabetes Mellitus

Diabetes Mellitus is a serious health problem which affects huge population in world. Age, food habits, improper eating and sleeping schedule, genetic and lack of exercise are major causes for diabetes. Diabetes leads to other major health problems like cardio vascular disease, kidney disease, lung...

Full description

Saved in:
Bibliographic Details
Published in2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC) pp. 179 - 184
Main Authors Revathi, M, Godbin, A.Beena, Bushra, S.Nikkath, Anslam Sibi, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.04.2022
Subjects
Artificial Neural Network
Artificial neural networks
Classification
Diabetes Mellitus
K-Nearest Neighbor
Machine learning
Machine learning algorithms
Prediction algorithms
Sociology
Supervised learning
Support Vector Machine
Support vector machine classification
Online AccessGet full text
DOI10.1109/ICESIC53714.2022.9783577

Cover

More Information
Summary:Diabetes Mellitus is a serious health problem which affects huge population in world. Age, food habits, improper eating and sleeping schedule, genetic and lack of exercise are major causes for diabetes. Diabetes leads to other major health problems like cardio vascular disease, kidney disease, lung disease etc., If diabetes is not treated properly, it could result in the failure of body organs. Proper diagnosis and treatment of diabetes is important to maintain the health of the patient. Machine learning application in healthcare sector is increasing day by day. Machine Learning helps in the extraction of useful information from raw medical data which is useful for identification of disease. In this paper, Artificial Neural Network (ANN) with varying batch size and epochs and algorithms like K-Nearest Neighbor and Support Vector Machine (SVM) are used in the prediction of Diabetes. ANN shows better performance than other two algorithms.
DOI:10.1109/ICESIC53714.2022.9783577