Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback