Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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 ...
Solar power provides a much-needed non-carbon energy source that is dependent on sun radiance. But sunny days are inherently unpredictable and variable, due to atmospheric conditions such as cloud ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback