In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …

Breast cancer is mostly a female disease, but it may affect men as well even at a
considerably lower percentage. An automated diagnosis system should be built for early …

This study investigates the Shapley additive explanation (SHAP) of the extreme boosting
(XGBoost) model for breast cancer diagnosis. The study employed Wisconsin's breast …

Pattern recognition is a crucial part of machine learning that has recently piqued scientists'
interest. The feature selection method utilized has an impact on the dataset's correctness …

The process of identifying software bugs is of paramount importance as it ensures software
reliability and facilitates maintenance activities. The quality improvement process of software …

Abstrak Intrusion Detection System (IDS) merupakan salah satu untuk mendeteksi potensi
adanya serangan cyber, terdapat beberapa metode IDS dalam mendeteksi serangan salah …

The existing heart failure risk prediction models are developed based on machine learning
predictors. The objective of this study is to identify the key risk factors that affect the survival …

Timely identification plays a crucial role in halting the dissemination of life-threatening
diseases. COVID-19, a highly transmissible illness with various mutations, has sparked a …