Artificial intelligence has been taught to calculate the likelihood of complications in patients who have suffered a heart attack. A machine learning model developed at the International Laboratory of Bioinformatics at HSE University takes into account the genetic data of patients.
The introduction of such models into clinical practice can help reduce mortality and the frequency of repeated heart attacks, optimize treatment, and reduce the burden on doctors
Researchers trained artificial intelligence with data collected from 2015 to 2024 during observation of 200 patients who had suffered a heart attack and were treated at the Surgut Regional Center for Diagnostics and Cardiovascular Surgery. The risk of complications in such patients is high. Their health may deteriorate, and there is also a risk of death.
Scientists worked with CatBoost, LightGBM, AutoML algorithms, and also used the logistic regression method.
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