Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients

Deep Learning for Risky Cardiovascular and Cerebrovascular Event Prediction in Hypertensive Patients

In this comprehensive study, we employed a versatile approach to tackle the prediction challenges associated with atrial fibrillation (AF) and cardiovascular events (CE). Exploiting the Gaussian copula synthesizer technique for data generation, we created high-quality synthetic data to overcome the...

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Bibliographic Details
Main Authors: Francesco Goretti, Ali Salman, Alessandra Cartocci, Alessio Luschi, Leandro Pecchia, Massimo Milli, Ernesto Iadanza
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
synthetic data generation
heart rate variability
atrial fibrillation
cardiovascular events
deep learning
transfer learning
Online Access:https://www.mdpi.com/2076-3417/15/3/1178

Internet

https://www.mdpi.com/2076-3417/15/3/1178

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