A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

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Objective: To construct a prediction model for teicoplanin (TEIC) plasma concentrations through machine learning and deep learning techniques in patients with liver disease using real-world clinical ...

Climate disasters like hurricanes and heat waves can send people to the hospital with problems ranging from injuries to heat stroke. This can lead to unexpected medical bills for families – and rising ...

ABSTRACT: The surge of digital data in tourism, finance and consumer markets demands predictive models capable of handling volatility, nonlinear dynamics, and long-term dependencies, where traditional ...

Health care fraud enforcement remains a top priority of the Trump administration, warns a law firm specializing in False Claims Act and Whistleblower/Qui Tam Defense. “All individuals and businesses ...

This month, guest editor Dr. Qingfeng Li spotlights how AI is reshaping maternal health in the Digital Health Research Roundup. The featured articles span machine-learning models for postpartum ...

Eight class-action lawsuits have been filed in the wake of a July data breach at a University of Iowa Health Care affiliate that may have compromised some general medical information for over 200,000 ...

College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan 030024, China Engineering Research Center of Advanced Metal Composites Forming Technology and Equipment, Ministry of ...

Most patients don’t expect to be sent to a vending machine immediately after a doctor’s appointment or a hospital stay. But there are two new vending machines that dole out prescription medications — ...

Abstract: This research applies a combination of machine learning methods - Random Forest, Gradient Boosting, and AdaBoost - to detect solar panel system failures using historical data. The ensemble ...

Big Pharma buys consumer health care data and uses it to target doctors who don’t prescribe their drugs. Pharmaceutical companies have been doing this for decades, yet few people know it happens. Many ...