The week's pick
Reseach Article
Diabetes Prediction using Machine Learning Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 14 |
| Year of Publication: 2021 |
| Authors: Parag Nar, Bhakti Palkar |
10.5120/ijca2021921468
|
Parag Nar, Bhakti Palkar . Diabetes Prediction using Machine Learning Technique. International Journal of Computer Applications. 183, 14 ( Jul 2021), 34-37. DOI=10.5120/ijca2021921468
Abstract
Diabetes Mellitus or diabetes is the disease which is also called as the silent killer of human body which is caused when human body’s efficiency of producing or supplying or responding to the hormone insulin is impaired. The target of this research was to design an efficient predictive model which will have a very high selectivity and sensitivity to better identify patients who might be at danger of getting the disease. Which can help is early diagnosis of the disease and its treatment This disease is detected depending on the patient’s laboratory results. The main aim was to develop an application that will attempt to predict or detect if the person is suffering with diabetes or not. Accuracy of the system was aimed to be above 75% which was achieved and the system showed an accuracy of 80.51% The final aim of the project was to also understand the concepts of Support Vector Machines and its usefulness into the medical field.
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