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Identification of cardiovascular high-risk groups from dynamic retinal vessel signals using untargeted machine learning.
Werfel, Stanislas; Günthner, Roman; Hapfelmeier, Alexander; Hanssen, Henner; Kotliar, Konstantin; Heemann, Uwe; Schmaderer, Christoph.
Afiliação
  • Werfel S; Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany.
  • Günthner R; Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany.
  • Hapfelmeier A; Institute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University Munich, Munich, Germany.
  • Hanssen H; Institute of General Practice and Health Services Research, School of Medicine, Technical University Munich, Munich, Germany.
  • Kotliar K; Division of Sports Medicine, Institute of Exercise and Health Sciences (ISSW), University of Basel, Basel, Switzerland.
  • Heemann U; Department of Biomedical Engineering and Technomathematics, Aachen University of Applied Sciences, Juelich, Germany.
  • Schmaderer C; Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675 Munich, Germany.
Cardiovasc Res ; 118(2): 612-621, 2022 01 29.
Article em En | MEDLINE | ID: mdl-33576412
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arteríolas / Vasos Retinianos / Vasodilatação / Vênulas / Processamento de Sinais Assistido por Computador / Doenças Cardiovasculares / Aprendizado de Máquina / Falência Renal Crônica Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arteríolas / Vasos Retinianos / Vasodilatação / Vênulas / Processamento de Sinais Assistido por Computador / Doenças Cardiovasculares / Aprendizado de Máquina / Falência Renal Crônica Tipo de estudo: Clinical_trials / Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2022 Tipo de documento: Article