Background Anticoagulation non-adherence is attributed to myriad factors in patient populations across the world. While direct oral anticoagulants (DOACs) have demonstrated several clinical advantages ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Abstract: Industrial time series prediction (ITSP) is critical to the predictive maintenance system of modern industry. However, time-varying conditions and complex industrial processes cause the ...

Reporting quality in clinical research is critical for evidence-based medicine and reproducibility of clinical studies. Previous work has mostly focused on the reporting quality of clinical trials and ...

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 ...

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

Abstract: The robust tracking of group targets, such as bird flocks and uncrewed aerial vehicle (UAV) swarms, is crucial for situational awareness and individual tracking. The main characteristics of ...

Background Despite several intensive interventions, HIV remains a major public health challenge affecting many individuals worldwide and highlighting ongoing gaps in HIV testing. Objectives To assess ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Toward a Further Understanding of Suicide Risk from a Mindset Framework among Older Adults. Psychology, 17, 126-137. doi: ...

Model-based clustering provides a principled way of developing clustering methods. We develop a new model-based clustering methods for count data. The method combines clustering and variable selection ...