Abstract: Optimization algorithms are essential for machine learning models to enhance prediction accuracy. There is a surge in the number of people suffering from diabetes in this present day, it is ...

Abstract: Predicting clinical outcomes, particularly mortality risk, is a crucial aspect of patient care and management in the medical field. Numerous studies have employed various methods to improve ...

Everyday carry is all about striking a balance between functionality and carry-friendliness. Unfortunately, compromises are often necessary, even with gear widely considered the best of the best. This ...

Background: Electroencephalography (EEG) is widely used to assess prognosis in patients with disorders of consciousness (DoC). Visual assessments by physicians and quantitative EEG (qEEG) are commonly ...