A machine learning model was developed to predict the oxidation resistance of Ti-V-Cr burn-resistant titanium alloy, and the natural logarithm of the parabolic oxidation rate constant ( lnk p ) was ...
A new breed of models has rejuvenated predictive AI. But successful deployment demands a new business-value playbook.
Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric ...
Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...
Over the past month or so, several key advancements in healthcare technology have centered on artificial intelligence designed to streamline clinical operations while also safeguarding data. Major ...
A pilot machine learning study of 20 mother-child dyads found that maternal lactation nutrients such as phosphatidylcholine, ...
A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.
Machine learning predicted postoperative delirium after cardiac surgery, with random forest showing the strongest performance ...
Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.
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