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Alphons Eggerth
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2020 – today
- 2020
- [c13]Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier:
Multi-Stream Deep Neural Network For 12-Lead ECG Classification. CinC 2020: 1-4 - [c12]Dieter Hayn, Mahdi Sareban, Alphons Eggerth, Markus Falgenhauer, Angelika Rzepka, Heimo Traninger, Karl Mayr, Marco Philippi, Michael Porodko, Christoph Puelacher, Stefan Höfer, Josef Niebauer:
Telehealth Services for Home-based Rehabilitation of Cardiac Patients. CinC 2020: 1-4 - [c11]Fabian Wiesmüller, Alphons Eggerth, Karl Kreiner, Dieter Hayn, Sten Hanke, Bernhard Pfeifer, Gerhard Pölzl, Tim Egelseer-Bründl, Günter Schreier:
Automated Extraction of Time References From Clinical Notes in a Heart Failure Telehealth Network. CinC 2020: 1-4 - [c10]Aaron Lauschensky, Dieter Hayn, Alphons Eggerth, Robert Modre-Osprian, Bernhard Pfeifer, Tim Egelseer-Bründl, Gerhard Pölzl, Günter Schreier:
Concept for Visualisation of Guideline Adherence of Medication Prescriptions in a Heart Failure Telehealth System. dHealth 2020: 49-56 - [c9]Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier:
Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data. dHealth 2020: 248-255 - [c8]Alphons Eggerth, Karl Kreiner, Dieter Hayn, Bernhard Pfeifer, Gerhard Pölzl, Tim Egelseer-Bründl, Günter Schreier:
Natural Language Processing for Detecting Medication-Related Notes in Heart Failure Telehealth Patients. MIE 2020: 761-765
2010 – 2019
- 2019
- [c7]Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier:
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care? dHealth 2019: 186-191 - [c6]Alphons Eggerth, Dieter Hayn, Karl Kreiner, Sai Veeranki, Heimo Traninger, Robert Modre-Osprian, Günter Schreier:
Patient Record Linkage for Data Quality Assessment Based on Time Series Matching. dHealth 2019: 210-217 - [c5]Michael Sams, Alphons Eggerth, Dieter Hayn, Sai Veeranki, Günter Schreier:
Predictive Modelling and Its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer. dHealth 2019: 234-241 - [e1]Dieter Hayn, Alphons Eggerth, Günter Schreier:
dHealth 2019 - From eHealth to dHealth - Proceedings of the 13th Health Informatics Meets Digital Health Conference, dHealth 2019, Vienna, Austria, 28-29 May, 2019. Studies in Health Technology and Informatics 260, IOS Press 2019, ISBN 978-1-61499-970-6 [contents] - 2018
- [j1]Dieter Hayn, Sai Veeranki, Martin Kropf, Alphons Eggerth, Karl Kreiner, Diether Kramer, Günter Schreier:
Predictive analytics for data driven decision support in health and care. it Inf. Technol. 60(4): 183-194 (2018) - [c4]Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier:
Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System. EFMI-STC 2018: 40-44 - [c3]Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier:
Prediction of Readmissions in the German DRG System Based on §21 Datasets. GMDS 2018: 170-174 - [c2]Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier:
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care. ICIMTH 2018: 97-100 - 2017
- [c1]Alphons Eggerth, Robert Modre-Osprian, Dieter Hayn, Peter Kastner, Gerhard Pölzl, Günter Schreier:
Comparison of Body Weight Trend Algorithms for Prediction of Heart Failure Related Events in Home Care Setting. eHealth 2017: 219-226
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