Johns Hopkins All Children's Researchers Develop Predictive, 'Machine Learning' Models to Make Pedia
The team employed machine learning to develop two computerized models that can “fine tune” the screening of individual pediatric patients who — using other screening methods — had already been classified as being at low risk for adverse effects from anesthesia by another scoring system.
United States Sankt Peterburg Luism Ahumada Geoffreym Gray Randolph Fillmore Johns Hopkins All Children Center
Source: hopkinsallchildrens.org