Abstract: In this paper, the prediction of Olympic medal winners has been explored using various machine learning models, utilizing a dataset spanning 128 years of Olympic history from 1896 to 2024.
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 ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
About half of all American adults grapple with some form of heart disease, so it’s understandable to want to do what you can to lower your risk, especially if you have a family history. While eating ...
Drs. Ken Croitoru (right) and Sun-Ho Lee (left) are both a part of Mount Sinai Hospital’s Centre for Inflammatory Bowel Disease. • Sinai Health researchers have shown a simple blood test can predict ...
“Bad,” or LDL, cholesterol is a major risk factor for heart disease and most people are screened for it as part of their yearly physicals. There’s another marker in the blood that may be a better ...
Prediction markets let you trade on the probability of real-world events, using prices as forecasts rather than opinions or fixed odds. Prediction markets are financial markets where people trade ...
Abstract: Cardiovascular diseases (CVDs) are one of the leading causes of death worldwide, and early identification is crucial to improve the patient’s prognosis. Traditional diagnostic methods for ...
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