Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to ...

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Aalto University in Finland have developed a new artificial intelligence (AI) tool that can more accurately predict the risk of individuals developing common diseases, including ...

According to a recent press release from Aalto University, the AI tool named 'survivalFM' utilizes machine learning ... predict the risk of developing ten common diseases within ten years. Test ...

When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means.