Background Environmental exposures are implicated in diabetes etiology, but are poorly
understood due to disease heterogeneity, complexity of exposures, and analytical …

Introduction Millions of deaths worldwide are a result of sepsis (viral and bacterial) and
septic shock syndromes which originate from microbial infections and cause a dysregulated …

Chronic kidney diseases (CKDs) are a significant public health issue with potential for
severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is …

Machine learning models for predictions enable researchers to make effective decisions
based on historical data. Automobile price prediction studies have been a most interesting …

Type 2 diabetes mellitus (T2DM) is one of the most common metabolic diseases in the world
and poses a significant public health challenge. Early detection and management of this …

Diabetes mellitus, commonly referred to as diabetes, poses a significant global public health
challenge. According to the International Diabetes Federation, the number of people …

Class imbalance is a common issue in various real-world machine learning applications
such as medical diagnosis and fraud detection, where one class significantly predominates …

La Inteligencia Artificial (IA) se ha convertido en una herramienta clave en el diseño de
materiales innovadores. Sin embargo, aún no se ha estudiado en profundidad el diseño de …

In modern industry, the quality of maintenance efforts directly influence equipment's
operational uptime and efficiency. Condition monitoring is a common process employed for …

With the fast development of power grid the usage of electrical equipment are increased
which led to importance of power quality disturbance sensing for reliable and smooth …