The American Journal of Managed Care

Exploring the Potential of Machine Learning in Optimizing Respiratory Failure Treatment

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...
EurekAlert!

A review of machine learning-based failure management in optical networks

In the present big data era, data is growing exponentially, and optical networks serve as the backbone for high-capacity and long-distance data transmission. Optical networks are always large scale, ...
Nature

Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance

Predictive maintenance harnesses statistical analysis to preemptively identify equipment and system faults, facilitating cost- effective preventive measures. Machine learning algorithms enable ...
VentureBeat

AI researchers devise failure detection method for safety-critical machine learning

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from MIT, Stanford University, and the University of ...