Diagnostic and prognostic value of ECG-predicted hypertension-mediated left ventricular hypertrophy using machine learning

ECG-based ML classifiers represent a potentially accessible screening strategy for the early detection of hypertension-mediated LVH phenotypes.

Authors

Bishwas Chamling (ORCID: https://orcid.org/0000-0003-3101-343X)
Esmeralda Ruiz Pujadas (ORCID: https://orcid.org/0000-0001-6150-557X)
Marcello Ricardo Paulista Markus (ORCID: https://orcid.org/0000-0002-6234-4955)
Patricia B. Munroe (ORCID: https://orcid.org/0000-0002-4176-2947)
Julia Ramírez (ORCID: https://orcid.org/0000-0003-4130-5866)
Nay Aung (ORCID: https://orcid.org/0000-0002-7178-2623)
Marcus Dörr (ORCID: https://orcid.org/0000-0001-7471-475X)
Stefan van Duijvenboden (ORCID: https://orcid.org/0000-0001-8897-558X)
Steffen Erhard Petersen (ORCID: https://orcid.org/0000-0003-4622-5160)
C. Anwar A. Chahal (ORCID: https://orcid.org/0000-0001-7825-8827)
Karim Lekadir (ORCID: https://orcid.org/0000-0002-9456-1612)
Hafiz Naderi (ORCID: https://orcid.org/0000-0002-3217-780X)
Lin Wang (ORCID: https://orcid.org/0000-0001-8095-9518)

Institució Catalana de Recerca i Estudis Avançats (ES)
St Bartholomew's Hospital (GB)
Mayo Clinic (US)
Queen Mary University of London (GB)
Barts Health NHS Trust (GB)
Universidad de Zaragoza (ES)
Universitätsmedizin Greifswald (DE)
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (ES)
WellSpan Health (US)
German Centre for Cardiovascular Research (DE)
Health Data Research UK (GB)
William Harvey Research Institute (GB)
Deutsches Diabetes-Zentrum e.V. (DE)
German Center for Diabetes Research (DE)
Heinrich Heine University Düsseldorf (DE)
Universitat de Barcelona (ES)