A UMN study highlights disparities in healthcare AI, showing inconsistent bias evaluations in hospitals’ AI tools.
Just 61% of hospitals surveyed evaluated models for accuracy on their own data, and less than half evaluated the models for ...
Next, we examine the challenges in making predictive assessments in both DV and child protection, positing that a nested or layered risk classification system offers the greatest potential to ...
Predictive analytics, a subset of advanced analytics, uses statistical algorithms, machine learning techniques, and data ...
Interlink Electronics, Inc. (NASDAQ: LINK), a world-leading provider of sensors and printed electronic solutions that support a wide range of applications, including Human-Machine Interface ("HMI") ...
The following is a summary of “Machine learning for the prediction of mortality in patients with sepsis-associated acute ...
How Predictive Analytics and Smart Tech Are Revolutionizing Green Hydrogen's Future 5.2 billion - that's today's green h ...