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,...
Saved in:
| 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 |
| Subjects: | |
| Online Access: | https://cardiovascular.elpub.ru/jour/article/view/4130 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development and validation of machine learning models to predict unplanned hospitalizations of patients with diabetes within the next 12 months
by: A. E. Andreychenko, et al.
Published: (2024-05-01) -
Regional features of hospitalizations and outpatient medical care among adults with established hypertension
by: R. N. Shepel, et al.
Published: (2023-10-01) -
Effect of renal denervation on blood biomarker levels in patients with resistant hypertension, diabetes and coronary artery disease after 12-month follow-up
by: N. A. Arablinsky, et al.
Published: (2025-02-01) -
Features of Hospital Period in Patients Who Underwent Surgical Treatment for Chronic Thromboembolic Pulmonary Hypertension in Combination With Myocardial Revascularization
by: O. V. Kamenskaya, et al.
Published: (2025-04-01) -
The dynamics of blood pressure within 12 months after carotid artery stenting in patients with stenotic carotid lesions
by: F. B. Shukurov, et al.
Published: (2019-09-01)