Machine learning allows for more accurate predictions of heart disease risk, highlights need for sex-specific criteria ...
However, it’s deemed “life-saving” for the people who successfully undergo the treatment. So, the researchers intend to use ...
Cedar Gate's predictive model identified 24,628 people in its National Healthcare Benchmark Database who were not already diagnosed with CAD, but at above-average risk of developing the condition, ...
Southern England's leading centre of excellence for the prevention and treatment of cardiovascular and cancer issues, has ...
Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This ...
In the present study, researchers developed and validated a new CVD risk prediction tool, QR4. They used the data from the ...
Researchers conducted a study to assess the accuracy of an artificial intelligence (AI)-based machine learning model for predicting the incidence of HIV infection. Data for this study were sourced ...