When severe weather strikes, the National Weather Service's (NWS) Office of Water Prediction (OWP) makes critical flood ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...
According to Brian Ferdinand, a portfolio manager at EverForward and Strategic Advisor to Helix Alpha Systems, predictive ...
Heart failure is a leading cause of hospitalization and long-term disability, with many individuals progressing from subclinical disease to overt symptoms ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The Sun’ll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google’s DeepMind team released its latest weather prediction model this week, which outperforms a ...
Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Patient-reported outcome measures and clinical scales were ineffective in predicting responses to full-agonist opioids for chronic pain.