Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization

Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization

Introduction: In public health, machine learning algorithms have been used to predict or diagnose chronic epidemiological disorders such as diabetes mellitus, which has reached epidemic proportions due to its widespread occurrence around the world. Diabetes is just one of several diseases for which...

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Bibliographic Details
Main Authors: Amel Ali Alhussan, Abdelaziz A. Abdelhamid, S. K. Towfek, Abdelhameed Ibrahim, Marwa M. Eid, Doaa Sami Khafaga, Mohamed S. Saraya
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Diagnostics
Subjects:
diabetes
machine learning
feature selection
Al-Biruni earth radius optimization
dipper throated optimization
random forest
Online Access:https://www.mdpi.com/2075-4418/13/12/2038

Internet

https://www.mdpi.com/2075-4418/13/12/2038

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