Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
IEEE

On Performance Comparison between Strong Machine Unlearning Algorithms for Logistic Regression Credit Assessment Models

Abstract: The enactment of the Personal Data Protection (PDP) regulation in Indonesia requires financial service institutions to erase debtors' personal data upon request. However, this is challenging ...
IEEE

Phishing Attack Detection using Logistic Regression and Novel Random Forest Algorithm to improve Accuracy

Abstract: —The objective is to more accurately forecast phishing attacks that harvest sensitive data from unsuspecting users by utilizing Logistic Regression in comparison to the Novel Random Forest ...