Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

The Transparency Principles emphasize the effective communication of relevant information about a MLMD to users, such as the intended use(s), device development, device performance, and method for ...

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

The following video presentation comes from my favorite Meetup group “LA R users group“, a 2,200+ member group that puts on some amazing virtual presentations. This talk centers around that fact that ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Over the past few months, I have been helping data engineers, developers, and machine learning ...