Improvement of cardiovascular risk assessment using machine learning methods
The increase in the prevalence of cardiovascular diseases (CVDs) specifies the importance of their prediction, the need for accurate risk stratification, preventive and treatment interventions. Large medical databases and technologies for their processing in the form of machine learning algorithms t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
«FIRMA «SILICEA» LLC
2022-01-01
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| Series: | Российский кардиологический журнал |
| Subjects: | |
| Online Access: | https://russjcardiol.elpub.ru/jour/article/view/4618 |