Stefanie Jauk

Orcid: 0000-0003-1287-594X

According to our database1, Stefanie Jauk authored at least 16 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach.
Proceedings of the dHealth 2022, 2022

External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine.
Proceedings of the dHealth 2022, 2022

2021
Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst., 2021

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.
J. Medical Syst., 2021

Reply to Rousseau and Tierney.
J. Am. Medical Informatics Assoc., 2021

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events.
Proceedings of the Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021, 2021

2020
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study.
J. Am. Medical Informatics Assoc., 2020

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020

2019
An Improvised Classification Model for Predicting Delirium.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

Information Adapted Machine Learning Models for Prediction in Clinical Workflow.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019

2018
On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care.
Proceedings of the Data, 2018

Evaluating the Impact of Incorrect Diabetes Coding on the Performance of Multivariable Prediction Models.
Proceedings of the Data, 2018

Effect of Nursing Assessment on Predictive Delirium Models in Hospitalised Patients.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018

Cleansing and Imputation of Body Mass Index Data and Its Impact on a Machine Learning Based Prediction Model.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018


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