Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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 ...
Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for reducing those emissions—has been hampered by missing data on how buildings ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results