Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Abstract: By evaluating intricate datasets to maximize plant growth, boost yields, and advance sustainability, smart agriculture—powered by Random Forest machine learning—is transforming botany.

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...