Assessment of pulmonary embolism probability using a machine learning model
Aim. To develop and validate a machine learning model designed to identify suspected pulmonary embolism (PE) based on various clinical features from electronic health records (EHRs) of out- and inpatients.Material and methods. Data from 19730 patients from 7 Russian regions were taken for analysis....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
«FIRMA «SILICEA» LLC
2024-05-01
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| Series: | Российский кардиологический журнал |
| Subjects: | |
| Online Access: | https://russjcardiol.elpub.ru/jour/article/view/5679 |
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