The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
IEEE

Instantaneous Availability Model for Systems Considering Multi-factor Logistic Delay

Abstract: The availability of equipment fluctuates significantly during the initial stage owing to an insufficient running-in of the subsystems. A fluctuation in instantaneous availability (IA) will ...
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 ...
Open Heart

Factors associated with the development of severe mitral regurgitation in patients with heart failure

Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...
BMJ Open

Psychological burden and its association with preferred form of psychological assistance of healthcare workers during the COVID-19 pandemic in China: a cross-sectional study

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...