Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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 ...
NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
Correctly distinguishing between related neurodegenerative diseases remains challenging for clinicians, because reliable markers do not yet exist for many disorders. In the July 22 Neurology, ...
Industry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
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