Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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 ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
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