Background: In recent years, machine learning (ML)–based models have been widely used in clinical domains to predict clinical risk events. However, in production, the performances of such models ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

A version of this story appeared in CNN’s What Matters newsletter. To get it in your inbox, sign up for free here. There’s a remarkable new report from the CNN Investigates team about crypto ATMs, ...

What if the programming language you rely on most is on the brink of a transformation? For millions of developers worldwide, Python is not just a tool, it’s a cornerstone of their craft, powering ...

Optical wireless communication (OWC) is one of the potential candidates to address the bandwidth limitation issue in 6G networks and satellite laser communications. Mode division multiplexing (MDM) ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

Techne, Tomas, and Anya learn how computers “talk” with us through input and output. Techne, Tomas, and Anya learn how computers “talk” with us through input ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...