Back

Machine learning-based identification of underdiagnosed hypertension: a multi-modal analysis of NHANES 2021–2023 data

29 August 2026 (11:15 - 12:00)
Organised by: Logo
Congress Presentation Part of: Tools and systems of care in hypertension Diagnostic Methods ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

Photo
Ms Vikasa Godishala

Rutgers University, Newark, Newark (United States of America)

6 More presentations in this session

Presentation thumbnail
Shop-to-Stop Hypertension: a cluster randomised controlled trial of retail kiosk screening and text message follow-up to improve hypertension care pathways
Professor A. Schutte (Sydney, AU)
Abstract
Presentation thumbnail
Physician-guided telemedical care achieves sustained blood pressure control in uncontrolled hypertension: a randomized-controlled pilot study.
Doctor P. Sagmeister (Leipzig, DE)
Abstract
Presentation thumbnail
Prognostic value of different circadian blood pressure patterns in ambulatory blood pressure monitoring
Doctor J. Faria (Braga, PT)
Abstract
Presentation thumbnail
SMOTE-random forest model enhances prediction of in-hospital mortality in hypertensive patients: a retrospective study based on the MIMIC-IV database
Doctor X. Ma (Lanzhou, CN)
Abstract
Presentation thumbnail
Framingham risk score as a pragmatic tool to detect masked daytime hypertension
Doctor A. Pavlovic (Montreal, CA)
Abstract

Access the full session

Session thumbnail
Tools and systems of care in hypertension

The Event

Event poster

ESC Congress 2026

29 August 2026 11:15 CET
You may be interested in
thumbnail
Congress Presentation
Single-lead ECG based detection of arterial hypertension using artificial intelligence algorithms
27 August 2023
thumbnail
Congress Presentation
Distribution of cardiovascular disease risk in adults aged 40 to 79 years with diagnosed hypertension but not on medications: findings from nationwide cross-sectional studies
25 April 2024
thumbnail
Congress Presentation
Developing a core indicator set for identifying people at risk of undiagnosed heart failure.
13 June 2025
thumbnail
Congress Presentation
Applying machine learning to diagnose obstructive coronary artery disease using calcium scoring, coronary CT angiography, and clinical data
20 May 2024

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources