Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results