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About the database ScholarIQanswers from OpenAlex & ORCID
How has Stefanie Jauk's publication output changed over time?
ScholarIQpublication output · 2017–2024
Output grew0% over the shown period — from 2 works in 2017 to 2 in 2024.
2
1
1
2
1
1
2
2017201920202021202220232024
What are the most-cited papers on Stefanie Jauk?
ScholarIQmost cited works
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
Stefanie Jauk, Diether Kramer, Birgit Großauer, Susanne Rienmüller, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Journal of the American Medical Informatics Association. 202087 CitationsOPEN ACCESS
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Stefanie Jauk, Diether Kramer, Alexander Avian, Andrea Berghold, Werner Leodolter, Stefan Schulz
Journal of Medical Systems. 202158 CitationsOPEN ACCESS
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study
Stefanie Jauk, Diether Kramer, Sai Veeranki, Angelika Siml-Fraissler, Angelika Lenz-Waldbauer, Ewald Tax, Werner Leodolter, Markus Gugatschka
S152176358. 202319 CitationsOPEN ACCESS
Small airway function before and after cold dry air challenge in pediatric asthma patients during remission
M. Steinbächer, Andreas Pfleger, Gerold Schwantzer, Stefanie Jauk, Elisabeth Weinhandl, Ernst Eber
S144578311. 201716 Citations
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
Michael Schrempf, Diether Kramer, Stefanie Jauk, Sai Veeranki, Werner Leodolter, Peter P. Rainer
Studies in health technology and informatics. 202115 CitationsOPEN ACCESS
Related on ScholarIQ
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
Paper
Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Paper
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study
Paper
Small airway function before and after cold dry air challenge in pediatric asthma patients during remission
Paper
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events
Paper
Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice
Paper