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 ...

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 ...

ABSTRACT: The diversity of snail intermediate hosts of schistosomes and infection rates are influenced by environmental determinants. Knowledge of these local environmental determinants is an ...

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 ...

Background: Negative emotionality is a core dimension of infant temperament, characterized by heightened distress, reactivity, and difficulty with self-regulation. It has been consistently associated ...

I have successfully run the deep learning models. However, when I run the Gradient Boosting Regression model, the predictions collapse into a straight flat line. I would like to understand why this ...