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 ...
IEEE

Machine Learning-Driven Model Predictive Control of Modular Multilevel Converters

Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...
Frontiers

Using COM-B model in identifying factors influencing exercise adherence in pregnant women with gestational diabetes mellitus in China: a qualitative study

1 Department of Gynecology and Obstetrics, Civil Aviation General Hospital, Beijing, China 2 Nursing Department, Civil Aviation General Hospital, Beijing, China Background: Gestational Diabetes ...
Frontiers

Multi-feature integrated machine learning prediction model for early nephropathy in elderly living with type 2 diabetes mellitus

Aims: To develop and validate a multi-feature machine learning (ML) model for early diabetic nephropathy (DN) prediction in elderly living with type 2 diabetes mellitus (T2DM), incorporating clinical ...
Medical Xpress

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...
IEEE

A Predictive Model for Personalized Course Advising Using Data Mining Techniques

Abstract: The course selection process in higher education has grown more complex as the students face the growing volume of academic options that must align with their personal and career goals. The ...