Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.

Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...

Background: The Predicting Risk of CVD EVENTs (PREVENT) equations were developed with minimal representation from Hispanic/Latino adults. Objective: To describe the ten-year risk of total ...

Background: The Predicting Risk of CVD EVENTs (PREVENT) equations are a new set of sex-specific and race-free equations developed by the American Heart Association to calculate risk of cardiovascular ...

Abstract: Investors have long grappled with the ambiguous nature of the stock market movements due to a multitude of influential factors, one of the factors is trying to predict the changes in the ...

There are many tools that can be used for AI modeling and prediction, such as Python, R, SAS and SPSS, where Python is very popular because it is simple, easy to learn, rich in data science libraries, ...

The purpose of this investigation was to use Python to model global city temperatures for 400+ cities for many decades. The process used a compilation of secondary data to find my renowned sources and ...

Please provide your email address to receive an email when new articles are posted on . “As epidemiologists, we try to support pediatric nephrologists by developing and evaluating the utility and ...

Drugs absorbed into the body are metabolized and thus removed by enzymes in several organs like the liver. The clearance rates of the drugs can be increased by other drugs that increase the level of ...