Alphons Eggerth

According to our database, Alphons Eggerth authored at least 14 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Natural Language Processing for Detecting Medication-Related Notes in Heart Failure Telehealth Patients.

Alphons Eggerth, Karl Kreiner, Dieter Hayn, Bernhard Pfeifer, Gerhard Pölzl, Tim Egelseer-Bründl, Günter Schreier

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Concept for Visualisation of Guideline Adherence of Medication Prescriptions in a Heart Failure Telehealth System.

Aaron Lauschensky, Dieter Hayn, Alphons Eggerth, Robert Modre-Osprian, Bernhard Pfeifer, Tim Egelseer-Bründl, Gerhard Pölzl, Günter Schreier

Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

Experimenting with Generative Adversarial Networks to Expand Sparse Physiological Time-Series Data.

Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier

Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

Automated Extraction of Time References From Clinical Notes in a Heart Failure Telehealth Network.

Fabian Wiesmüller, Alphons Eggerth, Karl Kreiner, Dieter Hayn, Sten Hanke, Bernhard Pfeifer, Gerhard Pölzl, Tim Egelseer-Bründl, Günter Schreier

Proceedings of the Computing in Cardiology, 2020

Telehealth Services for Home-based Rehabilitation of Cardiac Patients.

Dieter Hayn, Mahdi Sareban, Alphons Eggerth, Markus Falgenhauer, Angelika Rzepka, Heimo Traninger, Karl Mayr, Marco Philippi, Michael Porodko, Christoph Puelacher, Stefan Höfer, Josef Niebauer

Proceedings of the Computing in Cardiology, 2020

Multi-Stream Deep Neural Network For 12-Lead ECG Classification.

Martin Baumgartner, Alphons Eggerth, Andreas Ziegl, Dieter Hayn, Günter Schreier

Proceedings of the Computing in Cardiology, 2020

2019

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?

Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Predictive Modelling and Its Visualization for Telehealth Data - Concept and Implementation of an Interactive Viewer.

Michael Sams, Alphons Eggerth, Dieter Hayn, Sai Veeranki, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Patient Record Linkage for Data Quality Assessment Based on Time Series Matching.

Alphons Eggerth, Dieter Hayn, Karl Kreiner, Sai Veeranki, Heimo Traninger, Robert Modre-Osprian, Günter Schreier

Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

2018

Predictive analytics for data driven decision support in health and care.

Dieter Hayn, Sai Veeranki, Martin Kropf, Alphons Eggerth, Karl Kreiner, Diether Kramer, Günter Schreier

it Inf. Technol., 2018

On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.

Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier

Proceedings of the Data, 2018

Prediction of Readmissions in the German DRG System Based on §21 Datasets.

Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier

Proceedings of the German Medical Data Sciences: A Learning Healthcare System, 2018

Utilising Information of the Case Fee Catalogue to Enhance 30-Day Readmission Prediction in the German DRG System.

Alphons Eggerth, Dieter Hayn, Sai Veeranki, Jörg Stieg, Günter Schreier

Proceedings of the Decision Support Systems and Education, 2018

2017

Comparison of Body Weight Trend Algorithms for Prediction of Heart Failure Related Events in Home Care Setting.

Alphons Eggerth, Robert Modre-Osprian, Dieter Hayn, Peter Kastner, Gerhard Pölzl, Günter Schreier

Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017