HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning-Reference-Cited by-同舟云学术

HyperScore: A unified measure to model hypertension progression using multi-modality measurements and semi-supervised learning

Published:2023-12-05 Issue: Volume:22 Page:1886-1889
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Alkhodari Mohanad¹,Lapidaire Winok¹,Xiong Zhaohan¹,Kart Turkay¹,Iturria-Medina Yasser²,Hadjileontiadis Leontios³,Khandoker Ahsan³,Lewandowski Adam J.¹,Banerjee Abhirup⁴,Leeson Paul¹

Affiliation:

1. University of Oxford,Cardiovascular Clinical Research Facility,Radcliffe Department of Medicine,Oxford,UK

2. McGill University,Neuroinformatics for Personalized Medicine Lab,Montreal,Canada

3. Khalifa University,Healthcare Engineering Innovation Center,Department of Biomedical Engineering,Abu Dhabi,UAE

4. University of Oxford,Institute of Biomedical Engineering,Department of Engineering Science,Oxford,UK

Funder

British Heart Foundation

Medical Research Council

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385558.pdf?arnumber=10385558

Reference25 articles.

1. The global epidemiology of hypertension

2. Hypertension: key facts

3. Hypertension;Oparil;Nature Reviews Disease Primers,2019

4. Hypertension-Mediated Organ Damage: Prevalence, Correlates, and Prognosis in the Community

5. 2018 ESC/ESH Guidelines for the management of arterial hypertension

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