A new ensemble machine learning-based prediction mechanism reinitializes evolutionary algorithm populations after ...

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, ...

A BMC Pediatrics study finds that a random forest model combining serum creatinine and cystatin C, further improved by adding ...

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...