The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
The study "Seasonal forecasting of European heat waves using a feature selection framework," published in Communications Earth & Environment, demonstrates how machine learning (ML) and artificial ...
Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
ICU patients’ needs can change rapidly. The AI studies each patient to make personalized nutrition predictions. In A Nutshell ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
The Jacksonville Jaguars are 3-1 heading into Monday Night Football. Running back Travis Etienne is finding success on the ground, and the SportsLine Machine Learning Model expects Etienne's solid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results