Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

In the medical field, alarm fatigue can be a serious issue that directly impacts patient care. When roughly three-quarters of clinical alarms are false, it’s easy to see how this constant overload can ...

David Schiffer is the CEO of RevBits and formerly of Safe Banking Systems (SBS). RevBits develops cybersecurity software for organizations. Let’s be honest—alert fatigue is real, and it’s relentless.

FIS is using AI and machine learning in new ways to speed up detection of emerging types of payment card fraud while reducing false positives. Banks rely on highly responsive fraud filters to alert ...

A new machine learning breakthrough outperforms traditional methods by reducing false positives and minimizing cases needing further inspection, crucial for sectors like Medicare and credit card fraud ...

AI transforms digital wallets from transaction processors into intelligent systems. Instead of enforcing fixed rules, machine learning models evaluate context like user behavior, device ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The key difference between a false positive and a false negative is that a false positive ...