Development and validation of machine learning models predicting hospitalizations of hypertensive patients over 12 months
Aim. To develop models for predicting hospitalizations of hypertensive (HTN) over 12 months using machine learning algorithms and to validate them using real-world practice data.Material and methods. Based on the data from depersonalized electronic health records obtained from the Webiomed platform,...
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Main Authors: | A. E. Andreychenko, A. D. Ermak, D. V. Gavrilov, R. E. Novitsky, O. M. Drapkina, A. V. Gusev |
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Format: | Article |
Language: | Russian |
Published: |
«SILICEA-POLIGRAF» LLC
2025-03-01
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Series: | Кардиоваскулярная терапия и профилактика |
Subjects: | |
Online Access: | https://cardiovascular.elpub.ru/jour/article/view/4130 |
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