Being able to preict the occurrence of this event with enough time would completely change their approach. If we know who will have a heart attack in the coming years we would improve prevention. Traditionally doctors use a mathematical model to preict the chance of a heart attack. This is the Framingham scale which combines the following data Laboratoryespecially blood cholesterol. Blood pressure. Weight and height. Age and sex.
Thus with artificial intelligence it would be possible to improve this mathematical forecast auto Phone Number List mating the calculation and adding variables. we will review below account for this progress The AI that preicts a heart attack in the next 5 years Researchers at Sinai Meical Center develope a machine learning algorithm to read coronary angiograms. In this way its artificial intelligence assesses in seconds the size of the cholesterol plaques that patients.
Have in the arteries that carry blood to the heart. With these data plus the learning that the technology has made from past angiograms patients are classifie according to their risk of having a heart attack in 5 years. Spee is the key. What the AI reads in seconds for doctors usually requires almost 30 minutes per patient. Machine learning in the preiction of heart attacks The University of Nottingham use 4 machine learning algorithms to analyze data from almost 400000 people.
發表於 2024-1-1 17:18:59
