Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

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

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Using different pairs of loaded dice, the result of each match in the World Cup can be simulated. We took into account the official tournament draw and all FIFA rules, including the possibility of ...

Encryption systems rely on “random” numbers, but conventional computers can’t generate them perfectly. New research shows that quantum physics can. By Alexander Nazaryan Researchers in Switzerland ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

A Python implementation of the Truly Spatial Random Forests (SRF) algorithm for geoscience data analysis. Based on: Talebi, H., Peeters, L.J.M., Otto, A. & Tolosana-Delgado, R. (2022). A Truly Spatial ...

Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...

Our planet’s forests are undergoing a transformation that researchers are only now beginning to fully understand. Between 2001 and 2020, scientists tracked dramatic shifts in how forests are managed ...