Plagwitz, L., Vogelsang, T., Doldi, F., Bickmann, L., Fujarski, M., Eckardt, L., & Varghese, J. [ca. 2023]. The necessity of multiple data sources for ECG-based machine learning models. In M. Hägglund, M. Blusi, S. Bonacina, L. Nilsson, I. Cort Madsen, S. Pelayo, A. Moen, A. Benis, L. Lindsköld, & P. Gallos (Hrsg.), Studies in Health Technology and Informatics [Cd]. Augsburg: Universität Augsburg. https://doi.org/10.3233/shti230059

PLAGWITZ, Lucas, VOGELSANG, Tobias, DOLDI, Florian, BICKMANN, Lucas, FUJARSKI, Michael, ECKARDT, Lars und VARGHESE, Julian, 2023. The necessity of multiple data sources for ECG-based machine learning models. Augsburg: Universität Augsburg.

Plagwitz, L., T. Vogelsang, F. Doldi, L. Bickmann, M. Fujarski, L. Eckardt, und J. Varghese. „The necessity of multiple data sources for ECG-based machine learning models“. Studies in Health Technology and Informatics, herausgegeben von Maria Hägglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, und Parisis Gallos, cd, Universität Augsburg, 2023, https://doi.org/10.3233/shti230059.

Plagwitz, Lucas/Vogelsang, Tobias/Doldi, Florian/Bickmann, Lucas/Fujarski, Michael/Eckardt, Lars u. a.: The necessity of multiple data sources for ECG-based machine learning models, Augsburg 2023.

Plagwitz, L., Vogelsang, T., Doldi, F., Bickmann, L., Fujarski, M., Eckardt, L. und Varghese, J. (2023), The necessity of multiple data sources for ECG-based machine learning models, herausgegeben von Hägglund, M., Blusi, M., Bonacina, S., Nilsson, L., Cort Madsen, I., Pelayo, S., Moen, A., Benis, A., Lindsköld, L. und Gallos, P.Studies in Health Technology and Informatics, Bd. , Universität Augsburg, Augsburg, verfügbar unter:https://doi.org/10.3233/shti230059.