Using COVID-19 patient data to train machine learning models for healthcare

One short week ago, I called on governments to use existing data and proven machine learning and AI techniques to help healthcare systems combat the COVID-19 pandemic. The response was amazing. My team and I received encouragement, ideas, and proposals for collaboration. We also received, courtesy of Public Health England, a set of (depersonalized) data […]

Technique reveals whether models of patient risk are accurate

After a patient has a heart attack or stroke, doctors often use risk models to help guide their treatment. These models can calculate a patient’s risk of dying based on factors such as the patient’s age, symptoms, and other characteristics. While these models are useful in most cases, they do not make accurate predictions for […]