Assessment of pulmonary embolism probability using a machine learning model

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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Bibliographic Details
Main Authors: D. V. Gavrilov, A. E. Andreichenko, A. D. Ermak, T. Yu. Kuznetsova, A. V. Gusev
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2024-05-01
Series:Российский кардиологический журнал
Subjects:
pulmonary embolism
electronic health records
machine learning
clinical decision support system
Online Access:https://russjcardiol.elpub.ru/jour/article/view/5679
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