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184 results on '"BODENHOFER, ULRICH"'

7. Detection of Subtle ECG Changes Despite Superimposed Artifacts by Different Machine Learning Algorithms.

Author

Noitz, Matthias, Mörtl, Christoph, Böck, Carl, Mahringer, Christoph, Bodenhofer, Ulrich, Dünser, Martin W., and Meier, Jens

Subjects
ARTIFICIAL neural networks, RANDOM forest algorithms, INSPECTION & review, ELECTROCARDIOGRAPHY, PROOF of concept
Abstract

Analyzing electrocardiographic (ECG) signals is crucial for evaluating heart function and diagnosing cardiac pathology. Traditional methods for detecting ECG changes often rely on offline analysis or subjective visual inspection, which may overlook subtle variations, particularly in the case of artifacts. In this theoretical, proof-of-concept study, we investigated the potential of five different machine learning algorithms [random forests (RFs), gradient boosting methods (GBMs), deep neural networks (DNNs), an ensemble learning technique, as well as logistic regression] to detect subtle changes in the morphology of synthetically generated ECG beats despite artifacts. Following the generation of a synthetic ECG beat using the standardized McSharry algorithm, the baseline ECG signal was modified by changing the amplitude of different ECG components by 0.01–0.06 mV. In addition, a Gaussian jitter of 0.1–0.3 mV was overlaid to simulate artifacts. Five different machine learning algorithms were then applied to detect differences between the modified ECG beats. The highest discriminatory potency, as assessed by the discriminatory accuracy, was achieved by RFs and GBMs (accuracy of up to 1.0), whereas the least accurate results were obtained by logistic regression (accuracy approximately 10% less). In a second step, a feature importance algorithm (Boruta) was used to discriminate which signal parts were responsible for difference detection. For all comparisons, only signal components that had been modified in advance were used for discretion, demonstrating that the RF model focused on the appropriate signal elements. Our findings highlight the potential of RFs and GBMs as valuable tools for detecting subtle ECG changes despite artifacts, with implications for enhancing clinical diagnosis and monitoring. Further studies are needed to validate our findings with clinical data. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Late Breaking Abstract - Metabolic phenotype determines outcome of pulmonary arterial hypertension

Author

Bordag, Natalie, primary, Nagy, Bence Miklos, additional, Zügner, Elmar, additional, Ludwig, Helga, additional, Foris, Vasile, additional, Nagaraj, Chandran, additional, Biasin, Valentina, additional, Bodenhofer, Ulrich, additional, Magnes, Christoph, additional, Maron, Bradley A., additional, Ulrich, Silvia, additional, Lange, Tobias J., additional, Hötzenecker, Konrad, additional, Pieber, Thomas, additional, Olschewski, Horst, additional, and Olschewski, Andrea, additional

Published
2023
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13. Aggregation of Fuzzy Relations and Preservation of Transitivity

Author

Saminger, Susanne, Bodenhofer, Ulrich, Klement, Erich Peter, Mesiar, Radko, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, de Swart, Harrie, editor, Orłowska, Ewa, editor, Schmidt, Gunther, editor, and Roubens, Marc, editor

Published
2006
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14. General Representation Theorems for Fuzzy Weak Orders

Author

Bodenhofer, Ulrich, De Baets, Bernard, Fodor, János, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, de Swart, Harrie, editor, Orłowska, Ewa, editor, Schmidt, Gunther, editor, and Roubens, Marc, editor

Published
2006
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15. Flexible Query Answering Using Distance-Based Fuzzy Relations

Author

Bodenhofer, Ulrich, Küng, Josef, Saminger, Susanne, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, de Swart, Harrie, editor, Orłowska, Ewa, editor, Schmidt, Gunther, editor, and Roubens, Marc, editor

Published
2006
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22. Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3

Author

Zellinger, Barbara, primary, Bodenhofer, Ulrich, additional, Engländer, Immanuela A., additional, Kronberger, Cornelia, additional, Grambozov, Brane, additional, Ruznic, Elvis, additional, Stana, Markus, additional, Karner, Josef, additional, Fastner, Gerd, additional, Sotlar, Karl, additional, Sedlmayer, Felix, additional, and Zehentmayr, Franz, additional

Published
2021
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31. Hsa-miR-375/RASD1 Signaling May Predict Local Control in Early Breast Cancer

Author

Zellinger, Barbara, primary, Bodenhofer, Ulrich, additional, Engländer, Immanuela A., additional, Kronberger, Cornelia, additional, Strasser, Peter, additional, Grambozov, Brane, additional, Fastner, Gerd, additional, Stana, Markus, additional, Reitsamer, Roland, additional, Sotlar, Karl, additional, Sedlmayer, Felix, additional, and Zehentmayr, Franz, additional

Published
2020
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32. FABIA: factor analysis for bicluster acquisition

Author

Hochreiter, Sepp, Bodenhofer, Ulrich, Heusel, Martin, Mayr, Andreas, Mitterecker, Andreas, Kasim, Adetayo, Khamiakova, Tatsiana, Van Sanden, Suzy, Lin, Dan, Talloen, Willem, Bijnens, Luc, Göhlmann, Hinrich W., Shkedy, Ziv, and Clevert, Djork-Arné

Published
2010
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44. Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes

Author

Van Nieuwenhove, Erika, primary, Lagou, Vasiliki, additional, Van Eyck, Lien, additional, Dooley, James, additional, Bodenhofer, Ulrich, additional, Roca, Carlos, additional, Vandebergh, Marijne, additional, Goris, An, additional, Humblet-Baron, Stéphanie, additional, Wouters, Carine, additional, and Liston, Adrian, additional

Published
2019
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46. Defining objective clusters for rabies virus sequences using affinity propagation clustering

Author

Fischer, Susanne, primary, Freuling, Conrad M., additional, Müller, Thomas, additional, Pfaff, Florian, additional, Bodenhofer, Ulrich, additional, Höper, Dirk, additional, Fischer, Mareike, additional, Marston, Denise A., additional, Fooks, Anthony R., additional, Mettenleiter, Thomas C., additional, Conraths, Franz J., additional, and Homeier-Bachmann, Timo, additional

Published
2018
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49. Additional file 6: Table S1. of Hsa-miR-375 is a predictor of local control in early stage breast cancer

Author

Zehentmayr, Franz, Hauser-Kronberger, Cornelia, Zellinger, Barbara, Hlubek, Falk, Schuster, Claudia, Bodenhofer, Ulrich, Fastner, Gerd, Deutschmann, Heinz, Steininger, Philipp, Reitsamer, Roland, Fischer, Thorsten, and Sedlmayer, Felix

Subjects
body regions, fungi
Abstract

RT-qPCR target information. This table provides information on the exact sequences of the primers that were used for RT-qPCR including the Qiagenâ ˘ catalog number. (PDF 29.9 kb)

Published
2016
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50. Additional file 1: Figure S1. of Hsa-miR-375 is a predictor of local control in early stage breast cancer

Author

Zehentmayr, Franz, Hauser-Kronberger, Cornelia, Zellinger, Barbara, Hlubek, Falk, Schuster, Claudia, Bodenhofer, Ulrich, Fastner, Gerd, Deutschmann, Heinz, Steininger, Philipp, Reitsamer, Roland, Fischer, Thorsten, and Sedlmayer, Felix

Subjects
body regions, embryonic structures
Abstract

Comparison of hsa-miR-375 levels in the pilot study. The most prominent single miR that could differentiate relapse from control patients was hsa-miR-375 (LIMMA, raw p value 0.009). The box plot shows relapse versus control group, and the expression values of hsa-miR-375 are shown on the y-axis. (PDF 24.3 kb)

Published
2016
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