Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
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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 ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to standard antidepressant medication. By analyzing electrical activity in the ...
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