Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...
A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...
Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
Introduction Preterm-born infants are particularly vulnerable to poor air quality, which may contribute to respiratory ...
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart ...
The reason your ensemble implementation fell short of expectations is not because you lack enough models. Rather, it is ...
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