Critically ill older patients with colorectal cancer (CRC) had their 28-day mortality predicted using machine learning algorithms. Machine learning algorithms were able to be used to predict the ...
shinyOPTIK, a User-Friendly R Shiny Application for Visualizing Cancer Risk Factors and Mortality Across the University of Kansas Cancer Center Catchment Area We trained and validated two-phase ML ...
29,613 hospitalizations for patients with AML were included in the analysis each with 4,177 features. The median age was 58.9 (18-101) years, 13,689 (53.7%) were male, and 20,203 (69%) were White. The ...
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...
Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...
The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results