Article

BP Neural Network Model for Late-Night Effects Prediction in Postgraduates' Hypertension

2025-05-15

Abstract excerpt

<title>Abstract</title> <p> Graduate students exhibit a higher propensity for nocturnal hypertension episodes compared to the general working population. This study investigated the correlation between blood pressure and various physiological parameters, developing a continuous blood pressure prediction model based on highly correlated characteristics. Using a convenience sampling method involving physical exami...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c69dc3b0-b74a-5d45-a620-a388b737b21f
DOI: 10.21203/rs.3.rs-6479514/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

BP Neural Network Model for Late-Night Effects Prediction in Postgraduates' HypertensionDOI 10.21203/rs.3.rs-6479514/v1Read

Hypertension Screening via Awake-Sleep Differences in Photoplethysmogram SignalsSemantic proximity Read

A foundation model of wearable pulse oximetry reveals physiological signatures of health and cardiometabolic riskSemantic proximity Read

The prediction of cardiovascular events by phenotype of central and peripheral blood pressure in subjects without hypertensionSemantic proximity Read

Predicting the risk of incident hypertension and increase in blood pressure: A systematic review of existing prediction models for adultsSemantic proximity Read

Development and Validation of a Hypertension Prediction Model for Community-Dwelling Older Adults Using Routine Health Examination Data: Focus on Clinical Utility and Geriatric RelevanceSemantic proximity Read

RAGCBPNet: An Efficient Feature Fusion Framework for Wearable Cuffless Blood Pressure Monitoring and Long-term Validation in Real-world SettingsSemantic proximity Read

Prevalence and Risk Factor Analysis of Hypertension in Rural Adults: A Novel 7-Category Blood Pressure System and Generalized Linear Mixed-Effects Model ApproachSemantic proximity Read

A data-driven multiple linear regression model for cardiovascular homeostatic regulation in health, ageing, and diseaseSemantic proximity Read

Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.Semantic proximity Read

Increased nighttime blood pressure or nondipping profile for prediction of cardiovascular outcomes.Semantic proximity Read

Clinical characterization of blood pressure phenotypes: the BP phenotype score.Semantic proximity Read

A CNN deep learning model to improve SNP-based hypertension risk prediction accuracySemantic proximity Read