The task of diagnosing the disease is not always solved correctly, i.e. the conclusion about the state of the cardiovascular system does not always correspond to its true state due to measurement errors, various artifacts and insufficient qualifications of the doctor. Medical artificial intelligence (AI) opens up great opportunities for recognizing signs of a health condition, as well as in predicting the occurrence of complex systemic diseases, such as coronary heart disease. The prospects of using machine learning methods to analyze the bioelectric activity of the heart are analyzed. examples of solutions for the diagnosis of various cardiovascular diseases are considered.
| Mualliflar | Аляви Анисхон Лютфуллаевич, Аляви Бахромхон Анисханович, Абдуллаев Акбар Хатамович, Узоков Жамол Камилович |
|---|---|
| Jurnal | Journal of cardiorespiratory research/Kardiorespirator tadqiqotlar jurnali |
| Nashr sanasi | 2024-01-31 |
| Jild | 4 |
| Son | 4 |
| Til | Rus |
искусственный интеллект, кардиологический потенциал ИИ, электронные медицинские системы, анализ медицинских данных, дистанционный мониторинг, факторы риска, оценка рисков развития за¬болеваний., artificial intelligence, cardiological potential of AI, electronic medical systems, medical data analysis, remote monitoring, risk factors, risk assessment of diseases.
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