Fuzzy Neural Network Expert System with an Improved Gini Index Random Forest-Based Feature Importance Measure Algorithm for Early Diagnosis of Breast Cancer in Saudi Arabia

Fuzzy Neural Network Expert System with an Improved Gini Index Random Forest-Based Feature Importance Measure Algorithm for Early Diagnosis of Breast Cancer in Saudi Arabia

Breast cancer is one of the common malignancies among females in Saudi Arabia and has also been ranked as the one most prevalent and the number two killer disease in the country. However, the clinical diagnosis process of any disease such as breast cancer, coronary artery diseases, diabetes, COVID-1...

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Bibliographic Details
Main Authors: Ebrahem A. Algehyne, Muhammad Lawan Jibril, Naseh A. Algehainy, Osama Abdulaziz Alamri, Abdullah K. Alzahrani
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Big Data and Cognitive Computing
Subjects:
neural network
fuzzy logic
breast cancer
random forest
dataset
Online Access:https://www.mdpi.com/2504-2289/6/1/13

Internet

https://www.mdpi.com/2504-2289/6/1/13

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