Stefanie Jauk

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Prediction Model

Linear Discriminant Classifier

Acute Coronary Syndrome

Clinical Setting

Top Venues

Publications

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)
Michael Schrempf, Seda Polat Erdeniz, Diether Kramer, Stefanie Jauk, Sai P. K. 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)
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)
Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai P. K. Veeranki, Werner Leodolter, Peter P. Rainer
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events. dHealth (2021)
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) (2021)
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) (2021)
Stefanie Jauk
Reply to Rousseau and Tierney. J. Am. Medical Informatics Assoc. 28 (3) (2021)
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)
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) (2020)
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)
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)
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)
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)
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)
Sai P. K. Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier
Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients. eHealth (2018)
Stefanie Jauk, Diether Kramer, Stefan Schulz, Werner Leodolter
Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models. ICIMTH (2018)
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)