Stefanie Jauk
Orcid: 0000-0003-1287-594X
According to our database1,
Stefanie Jauk
authored at least 17 papers
between 2018 and 2024.
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Bibliography
2024
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot Study.
Proceedings of the dHealth 2024, 2024
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
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
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
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
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