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

29 August 2026 (11:15 - 12:00)
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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

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Ms Vikasa Godishala

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

6 More presentations in this session

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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)
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Physician-guided telemedical care achieves sustained blood pressure control in uncontrolled hypertension: a randomized-controlled pilot study.
Doctor P. Sagmeister (Leipzig, DE)
Abstract Slides Video
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Prognostic value of different circadian blood pressure patterns in ambulatory blood pressure monitoring
Doctor J. Faria (Braga, PT)
Abstract Slides Video
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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)
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Framingham risk score as a pragmatic tool to detect masked daytime hypertension
Doctor A. Pavlovic (Montreal, CA)
Abstract Slides Video

Access the full session

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Tools and systems of care in hypertension

The Event

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ESC Congress 2026

29 August 2026 11:15 CET
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