A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
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 ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...