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Werner Leodolter
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2020 – today
- 2023
- [j6]Manuel Lentzen
, Thomas Linden, Sai Veeranki
, Sumit Madan
, Diether Kramer, Werner Leodolter, Holger Fröhlich
:
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics 27(9): 4548-4558 (2023) - 2022
- [c14]Stefanie Jauk, Sai Pavan Kumar Veeranki
, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter:
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine. dHealth 2022: 93-100 - [c13]Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki
, Werner Ribitsch, Werner Leodolter, Peter P. Rainer:
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach. dHealth 2022: 262-269 - 2021
- [j5]Stefanie Jauk
, Diether Kramer, Alexander Avian
, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 48 (2021) - [j4]Stefanie Jauk
, Diether Kramer, Alexander Avian
, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study. J. Medical Syst. 45(4): 52 (2021) - [c12]Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki
, Werner Leodolter, Peter P. Rainer:
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth 2021: 136-143 - 2020
- [j3]Stefanie Jauk
, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian
, Andrea Berghold, Werner Leodolter, Stefan Schulz:
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study. J. Am. Medical Informatics Assoc. 27(9): 1383-1392 (2020) - [c11]Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl:
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning. dHealth 2020: 31-38
2010 – 2019
- 2019
- [j2]Alexander Lassnig
, Theresa Rienmüller
, Diether Kramer, Werner Leodolter, Christian Baumgartner
, Joerg Schroettner:
A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment. BMC Medical Informatics Decis. Mak. 19(1): 229:1-229:18 (2019) - [c10]Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn
, Günter Schreier, Werner Leodolter:
Information Adapted Machine Learning Models for Prediction in Clinical Workflow. dHealth 2019: 65-72 - [c9]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 - [c8]Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz:
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice. MedInfo 2019: 173-177 - [c7]Sai Pavan Kumar Veeranki
, Dieter Hayn
, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier:
An Improvised Classification Model for Predicting Delirium. MedInfo 2019: 1566-1567 - 2018
- [c6]Stefanie Jauk, Diether Kramer, Werner Leodolter:
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model. eHealth 2018: 116-123 - [c5]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 - [c4]Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter:
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH 2018: 249-252 - 2017
- [c3]Diether Kramer, Sai Veeranki, Dieter Hayn
, Franz Quehenberger, Werner Leodolter, Christian Jagsch, Günter Schreier:
Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients. eHealth 2017: 32-39
2000 – 2009
- 2003
- [c2]Werner Leodolter, Karl Kocever:
PACS as a driver for integrating healthcare systems. CARS 2003: 910-914 - 2000
- [j1]Günther Gell, Miroslav Madjaric, Werner Leodolter, Wolfgang Köle, Hubert Leitner:
HIS purchase projects in public hospitals of Styria, Austria. Int. J. Medical Informatics 58: 147-155 (2000)
1990 – 1999
- 1999
- [c1]Miroslav Madjaric, Werner Leodolter, Hubert Leitner, Günther Gell:
HIS Purchase Project: Preliminary Report. MIE 1999: 115-120
Coauthor Index
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last updated on 2024-05-08 21:00 CEST by the dblp team
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