Ohcanbohtosat - Irena Andršová

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Aiddostahte ozu
  1. 1
    Influence of heart rate correction formulas on QTc interval stability

    Influence of heart rate correction formulas on QTc interval stability Dahkki Irena Andršová, Katerina Hnatkova, Martina Šišáková, Ondřej Toman, Peter Smetana, Katharina M. Huster, Petra Barthel, Tomáš Novotný, Georg Schmidt, Marek Malík

    Almmustuhtton 2021
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  2. 2
    Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms

    Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms Dahkki Raymond Bond, Tomáš Novotný, Irena Andršová, Lumír Koc, Martina Šišáková, Dewar Finlay, Daniel Guldenring, James McLaughlin, Aaron Peace, Victoria McGilligan, Stephen J Leslie, Hui Wang, Marek Malík

    Almmustuhtton 2018
    Viečča ollesdeavstta
    Artigo
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  3. 3
    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations

    Neural network-derived electrocardiographic features have prognostic significance and important phenotypic and genotypic associations Dahkki Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin J. Shipley, Irena Andršová, Tomáš Novotný, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo P. Mandic, Nicholas S. Peters, Declan P. O’Regan, Marek Malík, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng

    Almmustuhtton 2023
    Viečča ollesdeavstta Viečča ollesdeavstta
    Pré-impressão
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  4. 4
    E Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features

    E Exploring the prognostic significance and important phenotypic and genotypic associations of neural network-derived electrocardiographic features Dahkki Arunashis Sau, Antônio H. Ribeiro, Kathryn A. McGurk, Libor Pastika, Nikesh Bajaj, Maddalena Ardissino, Jun Yu Chen, Huiyi Wu, Xili Shi, Katerina Hnatkova, Sean L. Zheng, Annie Britton, Martin J. Shipley, Irena Andršová, Tomáš Novotný, Éster Cerdeira Sabino, Luana Giatti, Sandhi Maria Barreto, Jonathan W. Waks, Daniel B. Kramer, Danilo P. Mandic, Nicholas S. Peters, Declan P. O’Regan, Marek Malík, James S. Ware, Antônio Luiz Pinho Ribeiro, Fu Siong Ng

    Almmustuhtton 2023
    Viečča ollesdeavstta Viečča ollesdeavstta
    Artigo
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  5. 5
    Natural History and Risk Stratification in Andersen-Tawil Syndrome Type 1

    Natural History and Risk Stratification in Andersen-Tawil Syndrome Type 1 Dahkki Andrea Mazzanti, Dmitri Guz, Alessandro Trancuccio, Eleonora Pagan, Deni Kukavica, T Chargeishvili, Natália Olivetti, Elżbieta Katarzyna Biernacka, Luciana Sacilotto, Geòrgia Sarquella-Brugada, Òscar Campuzano, Eyal Nof, Aristides Anastasakis, Valeria Sansone, Juan Jiménez‐Jáimez, Fernando E.S. Cruz, Jessica Sánchez-Quiñones, Julio Hernández-Afonso, María Eugenia Fuentes, Beata Średniawa, Anastasia Garoufi, Irena Andršová, Maite Izquierdo, Rumen Marinov, Asaf Danon, Victor Expósito-García, Amaya García-Fernández, Carmen Muñoz‐Esparza, Martín Ortiz, Agnieszka Zienciuk‐Krajka, Elisa Tavazzani, Nicola Monteforte, Raffaella Bloise, Maira Marino, Mirella Memmi, Carlo Napolitano, Esther Zorio, Lorenzo Monserrat, Vincenzo Bagnardi, Silvia G. Priori

    Almmustuhtton 2020
    Viečča ollesdeavstta
    Artigo
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