Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...

Vegan and pesco-vegetarian diets were associated with better kidney function compared with nonvegetarian diets, according to ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

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 ...

Background Previous studies have suggested an adverse role of epicardial adipose tissue (EAT) in aortic stenosis (AS), ...

Explore how AI-powered forensic data audits can enhance data literacy and improve air quality measurements for socio-economic ...

The fastest warming period since 1880 occurred in the past 30 years, according to a Washington Post analysis of NASA data.

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

Objective: To address concerns about payment adequacy in Medicare Advantage (MA) plans, a 2017 federal policy change increased risk scores and associated capitated payments for community-dwelling ...