Prognosis of Diabetes Mellitus using Machine Learning Techniques

Diabetes mellitus is a condition caused due to increase in blood glucose level. More than 90% of people are diagnosed with Type 2 diabetes disease,T2D is a fast-growing, chronic disease caused by the imbalance in insulin function. Diabetes is a now the leading cause of heart disease, stroke, blindne...

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Bibliographic Details
Published in:Turkish journal of computer and mathematics education 2021-04, Vol.12 (5), p.836-841
Main Author: Bhanujyothi H C, Dr.Chetana Tukkoji, Vidya J, Swastika T Jain, Shyamala Boosi
Format: Article
Language:English
Subjects:
Algorithms
Blindness
Diabetes
Diabetes mellitus
Disease
Heart diseases
Insulin
Machine learning
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Summary:Diabetes mellitus is a condition caused due to increase in blood glucose level. More than 90% of people are diagnosed with Type 2 diabetes disease,T2D is a fast-growing, chronic disease caused by the imbalance in insulin function. Diabetes is a now the leading cause of heart disease, stroke, blindness, non-traumatic limb amputations and end-stage renal failure. Early detection may take a step towards keeping diabetes patients healthy and it also reduces the risk of such serious complications. Nowadays, the application of Machine learning in the medical field is gradually increasing. This can aid in improving the classification system used for disease diagnosis, that assist medical experts in detecting the fatal diseases at an early stage. This paper presents a performance comparison of the machine learning algorithms in diabetes detection. Techniques like SVM, Random forest, Gradient Boosting, Navie Bayes, Logistic regressionand KNN are used in this work.
ISSN:1309-4653
1309-4653
DOI:10.17762/turcomat.v12i5.1491