IEEE

Integration of Machine Learning and Large Language Models for Scalable Data Cleaning

Abstract: Data quality is the measure to which data satisfy the demands of its use in accuracy, completeness, consistency, timelines, and reliability. Data quality problems such as missing values, ...
IEEE

Machine Learning-Based Prediction of Chronic Kidney Disease with Logistic Regression

Abstract: Chronic Kidney Disease (CKD) remains a critical health issue on a global scale, often progressing undiagnosed until advanced stages. In this research, a machine learning (ML)-based ...
AHA/ASA Journals

Second- and Third-Generation BCR-ABL Tyrosine Kinase Inhibitors and the Risk of Pulmonary Arterial Hypertension: A Prevalent New-User Design

BACKGROUND: BCR-ABL tyrosine kinase inhibitors (TKIs) have been increasingly linked to pulmonary arterial hypertension (PAH) since 2009, although supporting evidence is limited. Our objective was to ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...