A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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 ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Corrected: This story has been updated to correct the number of districts participating in Washington state’s Mastery-Based Learning Collaborative. Every state now allows schools to embrace competency ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Education experts are encouraging schools to consider problem-based learning (PBL) in a move to improve engagement and creativity among high school students. New research demonstrates how hands-on, ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, fluid motion and observed data, hundreds of these models agree that more carbon ...