Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...