Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark

Cloud based real-time multivariate multi-step prediction of systolic blood pressure and heart rate using temporal convolutional network and Apache Spark

Abstract Systolic blood pressure (SBP) and heart rate (HR) are critical for proactive clinical decision-making, particularly in intensive care environments. Early identification of abnormalities in these vital signs helps patients receive appropriate treatment and reduce associated health degradatio...

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Bibliographic Details
Main Authors: Hager Saleh, Nora El-Rashidy, Sherif Mostafa, Abdulaziz AlMohimeed, Shaker El-Sappagh, Zainab H. Ali
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Real-time vital signs prediction
Fog computing
Multi-task learning
Deep neural networks
Big data streaming
Temporal convolutional networks
Online Access:https://doi.org/10.1186/s40537-025-01207-5
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https://doi.org/10.1186/s40537-025-01207-5

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