Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Glucose-to-potassium ratio shows a J-shaped link with AKI after traumatic brain injury, with high levels predicting increased ...

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...

Google's trillion-minute SensorFM data shows wearables shifting from raw metrics to AI health agents, a trend already ...

Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The emerging convergence of AI-first design principles and environmental consciousness is reshaping how we think about ...

Abstract: Traffic visibility detection plays a vital role in intelligent transportation, autonomous driving, safe driving, etc. Convolutional neural networks (CNNs) based regression and classification ...

Abstract: Linear Regression (LR) is a classical machine learning algorithm which has many applications in the cyber physical social systems (CPSS) to shape and simplify the way we live, work, and ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...