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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Bibliographic Details
Main Authors: A. E. Andreychenko, A. D. Ermak, D. V. Gavrilov, R. E. Novitsky, O. M. Drapkina, A. V. Gusev
Format: Article
Language:Russian
Published: «SILICEA-POLIGRAF» LLC 2025-03-01
Series:Кардиоваскулярная терапия и профилактика
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Online Access:https://cardiovascular.elpub.ru/jour/article/view/4130
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