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

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing ...

Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Studies show AI can match kriging at estimating gold deposits. So why do the audited filings that move mining stocks still ...

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

Catalina Solorsano, a Klamath Falls mother of two, has crisscrossed southern Oregon and Northern California working in the heat and rain to lessen the risk of megafires. On Monday, she and eight other ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

The results show that Spain is favored to win with a probability of 14.5%. In times past, when we wanted to know which team ...

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...