An algorithm that allows predicting heart attack has been developed

The development of technology and artificial intelligence excites us most about the developments in the field of health: Scientists have developed an algorithm that allows predicting sudden cardiac death and can significantly reduce deaths caused by heart attacks. Scientists mostly used machine learning techniques when developing the algorithm.

Sudden heart attack can be predicted with new algorithm

As you know, sudden cardiac death is one of the diseases that causes millions of deaths every year. Sudden cardiac death, which is defined as a cause of death that occurs unexpectedly and is generally caused by a sudden deterioration in the electrical activity of the heart, will be predictable in the new era.

A newly developed algorithm by scientists uses machine learning technique. The algorithm can calculate the risk of sudden cardiac death by analyzing the patient’s history, genetic factors and various health parameters. The scientists who conducted the research used a very large database to develop the algorithm. This algorithm, which brings together the data of patients who have previously experienced sudden cardiac death and healthy individuals, calculates risk factors and risk score.

One of the most important features of the algorithm is that it not only predicts risk, but also identifies risk factors. In this way, doctors can determine what patients should and should not do to stay away from the danger of heart attack.

The lead researcher of the study said the following in his statement on the subject:

“This algorithm is one of the most promising tools we have seen so far in predicting the risk of sudden cardiac death. “It offers healthcare professionals a powerful tool to help patients better understand their risks and take appropriate precautions.”

So what do you think about this algorithm developed by scientists? Could there be a solution to sudden deaths caused by heart attacks in the future? Don’t forget to share your opinions with us in the comments section.