Machine learning algorithm to predict mortality in heart failure patients

Researchers from the University of California San Diego developed a machine-learning model by training a boosted decision tree algorithm on de-identified electronic health records data of 5,822 hospitalized or ambulatory patients with heart failure from the University of California San Diego. This machine learning model is based on eight readily available variables. These include, diastolic … Continue reading Machine learning algorithm to predict mortality in heart failure patients

Smartphone app shown to improve medication intake compliance in heart patients

According to a research study presented at the 45th Argentine Congress of Cardiology heart patients using a smartphone app reminder are more likely to take their medication than those who receive written instructions, This study tested the impact of a smartphone application on medication compliance. A total of 90 heart attack patients admitted to hospital … Continue reading Smartphone app shown to improve medication intake compliance in heart patients

Machine learning algorithms to speed up image biomarker analysis in heart MRI scans

According to research published in journal Circulation:Cardiaovascular imaging cardiac MRI analysis utilizing machine learning algorithms can be performed significantly faster and with similar precision compared to human experts. In the study, researchers trained a neural network to read the cardiac MRI scans. Utilizing artificial intelligence, a scan can be analyzed in approximately four seconds compared … Continue reading Machine learning algorithms to speed up image biomarker analysis in heart MRI scans