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 ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models diagnosed gout and calcium pyrophosphate deposition with accuracies similar to trained ...

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 ...

A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

As discussed in Chapter 3, extending safety engineering to cyber-physical systems that include artificial intelligence (AI) components brings a new set of challenges that suggest changing how this ...

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 ...