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 ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to unravel the complexity of ...
In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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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 can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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