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2020 – today
- 2024
[c13]Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer:
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study. dHealth 2024: 156-157- 2022
- [c12]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 - [c11]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
- [j4]Stefanie Jauk:
Reply to Rousseau and Tierney. J. Am. Medical Informatics Assoc. 28(3): 666-667 (2021) - [j3]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) - [j2]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) - [c10]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
- [j1]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) - [c9]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
- [c8]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 - [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]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 - [c5]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
- [c4]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 - [c3]Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier:
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth 2018: 124-131 - [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 - [c1]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
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