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 ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
BERLIN — Gut microbial biomarkers identified using machine learning can differentiate patients with inflammatory bowel disease (IBD) from healthy control individuals, according to a study presented at ...
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