Stefanie Jauk

17 papers Journal 4Unranked 13
YearRankTypeTitle / Venue / Authors
2024 — conf
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.
dHealth
Diether Kramer, Stefanie Jauk, Sai Veeranki, Michael Schrempf, Julia Traub, Eva Kugel, Anna Prisching, Sandra Domnanich, Maria Leopold, Peter Krisper, Gerald Sendlhofer
2022 — conf
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
dHealth
Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Ribitsch, Werner Leodolter, Peter P. Rainer
2022 — conf
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
dHealth
Stefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, Stefan Högler, David Mühlecker, Erwin Eberhartl, Arthur Schueler, Christian Chvosta, Wolfgang Strasser, Reinhold Strasser, Werner Leodolter
2021 J jnl
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst.
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2021 — conf
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
dHealth
Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Pavan Kumar Veeranki, Werner Leodolter, Peter P. Rainer
2021 J jnl
Reply to Rousseau and Tierney.
J. Am. Medical Informatics Assoc.
Stefanie Jauk
2021 J jnl
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst.
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2020 — conf
Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
dHealth
Anna-Maria Lienhart, Diether Kramer, Stefanie Jauk, Markus Gugatschka, Werner Leodolter, Thomas Schlegl
2020 J jnl
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
J. Am. Medical Informatics Assoc.
Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
2019 — conf
An Improvised Classification Model for Predicting Delirium.
MedInfo
Sai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, Franz Quehenberger, Diether Kramer, Werner Leodolter, Günter Schreier
2019 — conf
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.
MedInfo
Stefanie Jauk, Diether Kramer, Günther Stark, Karl Hasiba, Werner Leodolter, Stefan Schulz, Johann Kainz
2019 — conf
Information Adapted Machine Learning Models for Prediction in Clinical Workflow.
dHealth
Stefanie Jauk, Diether Kramer, Franz Quehenberger, Sai Pavan Kumar Veeranki, Dieter Hayn, Günter Schreier, Werner Leodolter
2019 — conf
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
dHealth
Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, Stefanie Jauk, Alphons Eggerth, Franz Quehenberger, Werner Leodolter, Günter Schreier
2018 — conf
Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.
eHealth
Stefanie Jauk, Diether Kramer, Werner Leodolter
2018 — conf
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.
eHealth
Sai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier
2018 — conf
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.
ICIMTH
Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter
2018 — conf
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.
ICIMTH
Sai Veeranki, Dieter Hayn, Alphons Eggerth, Stefanie Jauk, Diether Kramer, Werner Leodolter, Günter Schreier