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 ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Optimal NT-proBNP cut-off values increased progressively with advancing CKD: 694 pg/mL in Stage 3a, 1,452 pg/mL in Stage 3b, ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Katherine Haan, MBA, is a Senior Staff Writer for Forbes Advisor and a former financial advisor turned international bestselling author and business coach. For more than a decade, she’s helped small ...
Prediction markets, which allow wagers on almost anything in politics, business or culture, takes betting to a new level.
Despite decades of independent progress in population ecology and movement ecology, researchers have lacked a theoretical bridge between these two disciplines. "Ecologists have been trying to ...
Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...
To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...
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