The G8 tool showed a high specificity (85.1%) that makes it useful for minimizing false positives when predicting which patients would struggle with self-care. This could be particularly helpful in ...

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...

Abstract: Thermal error is a major factor affecting CNC machine tools. Establishing an effective error prediction model is crucial for improving the machining ...

Predictive models were built with records from 4758 patients and validated with 6977 patients after evaluation in the emergency department. Variables recorded were age, sex, place of birth, clinical ...

Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China Objectives: To study the characteristic factors associated with ...

Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States ...

Predictive maintenance can help manufacturers save on costs by spotting equipment issues early. Companies like Aquant and Gecko Robotics provide AI-powered tools that inform maintenance decisions.

Problem: While anyone can use genAI, predictive AI is generally out of reach. Solution: Use genAI to steer your predictive AI project. So much potential. Predictive AI often delivers more value than ...