Machine learning models that predict disease risk
Imagine getting a personalized, artificial-intelligence-driven prediction of diseases that you are most at risk of developing. You could be empowered to make lifestyle changes or begin preventative care to decrease your risks. Augmented artificial intelligence models are a type of machine learning designed to pull data from multiple sources to assist in humans making more accurate decisions. A model that uses input from a dozen electrocardiograms (ECGs) — tests that measure electrical activity in the heart— to predict heart issues and an artificial neural network (a simplified model of the human brain) that can accurately predict chronic illnesses are two recent examples of ambitious uses of machine learning to determine disease risk.
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