Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm

Improve data classification performance in diagnosing diabetes using the Binary Exchange Market Algorithm

Abstract Today's lifestyle has led to a significant increase in referrals to medical centers to diagnose various diseases. To this end, over the past few years, researchers have turned to new diagnostic methods, including data mining and artificial intelligence, intending to facilitate the dete...

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Bibliographic Details
Main Authors: Faranak Rezaei, Maryam Abbasitabar, Shirin Mirzaei, Zahra Kamari Direh, Sahar Ahmadi, Zahra Azizi, Darya Danialy
Format: Article
Language:English
Published: SpringerOpen 2022-04-01
Series:Journal of Big Data
Subjects:
Diabetes
Data Mining
Binary Exchange Market Algorithm (BEMA)
Support Vector Machine (SVM)
Feature Selection (FS)
Online Access:https://doi.org/10.1186/s40537-022-00598-z

Internet

https://doi.org/10.1186/s40537-022-00598-z

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