The week's pick
Reseach Article
A Diabetic Prediction Model using Firefly Algorithm with K-Nearest Neighbor Classifier
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 12 - Number 39 |
| Year of Publication: 2022 |
| Authors: Sulaiman Olaniyi Abdulsalam |
10.5120/ijais2022451930
|
Sulaiman Olaniyi Abdulsalam . A Diabetic Prediction Model using Firefly Algorithm with K-Nearest Neighbor Classifier. International Journal of Applied Information Systems. 12, 39 ( August 2022), 38-42. DOI=10.5120/ijais2022451930
Abstract
Diabetes is one of the illnesses that lasts for a long time, it has led to a lot of mortality yearly. If it is not treated, it can affect how well other human organs functions. So, early detection is an important part of living a healthy life. According to the World Health Organization, about 104 million people had diabetes in 1980. By 2014, that number had risen to 422 million, and it is expected to double by 2030. Machine learning is an area of Artificial Intelligence that focuses on making tools that can learn, or automatically pull out the knowledge hidden in data. Along with statistics, it is the most important part of a smart analysis of data. Both machine learning and data mining are based on the same idea: the machine learns from examples and then uses that model to solve the problem. The results of the finding obtained an accuracy of 91% compared to existing related works. Hence, this paper suggests a firefly-based attribute selection algorithm with K-nearest neighbor (KNN) classifier for the PIMA Indian diabetic database from University of California, Irvine (UCI).
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