Post by account_disabled on Dec 12, 2023 23:57:13 GMT -6
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. . Age and sex. Thus with artificial intelligence it would be possible to improve this mathematical forecast automating the calculation and adding variables. Some investigations that 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 Phone Number List 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. They wante to know if the AIs studie had the ability to preict a heart attack. They entere data such as age sex body mass index meical history and laboratory values. The algorithms preicte the 10-year risk of each person having a heart attack. At the same time some doctors made their calculations in a manual and traditional way.