Machine learning for predicting the outcomes and risks of cardiovascular diseases in patients with hypertension: results of ESSE-RF in the Primorsky Krai
Aim. To assess the prospects of using artificial intelligence technologies in predicting the outcomes and risks of cardiovascular diseases (CVD) in patients with hypertension (HTN).Material and methods. A software application was created for data mining from respondent profiles in a semi-automatic m...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
«FIRMA «SILICEA» LLC
2020-04-01
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| Series: | Российский кардиологический журнал |
| Subjects: | |
| Online Access: | https://russjcardiol.elpub.ru/jour/article/view/3751 |