As the authors remark in their
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. The neural network machine learning systemone of 4 studie improve the preiction of cardiovascular events by.Compare to meical ones.publication this means an aid to the professionals but not their replacement. The no code in pre Phone Number List icting a heart attack No code technology is gaining ground. It is a model for creating applications and automatic information systems without the nee to know how to program. The use of this AI in healthcare increases accessibility and becomes more easily available to doctors.
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The no code allows the entry of data that already exists for an algorithm to develop hypotheses. The researchers strongly propose that smartphone and smartwatch applications be use to obtain real-time data on people's heart health. It is the practical use of the no code to collect information and preict a heart attack in a simple and fast way. What can we expect for the futureHeart attack preiction AI is an example of a useful technology.
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