Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Jauk, Stefanie, Kramer, Diether, Avian, Alexander, Berghold, Andrea, Leodolter, Werner, Schulz, Stefan
Published in Journal of medical systems (01.04.2021)
Published in Journal of medical systems (01.04.2021)
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Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation study
Jauk, Stefanie, Kramer, Diether, Großauer, Birgit, Rienmüller, Susanne, Avian, Alexander, Berghold, Andrea, Leodolter, Werner, Schulz, Stefan
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2020)
Published in Journal of the American Medical Informatics Association : JAMIA (01.09.2020)
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Correction to: Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study
Jauk, Stefanie, Kramer, Diether, Avian, Alexander, Berghold, Andrea, Leodolter, Werner, Schulz, Stefan
Published in Journal of medical systems (01.04.2021)
Published in Journal of medical systems (01.04.2021)
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A novel hybrid modeling approach for the evaluation of integrated care and economic outcome in heart failure treatment
Lassnig, Alexander, Rienmueller, Theresa, Kramer, Diether, Leodolter, Werner, Baumgartner, Christian, Schroettner, Joerg
Published in BMC medical informatics and decision making (21.11.2019)
Published in BMC medical informatics and decision making (21.11.2019)
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Explaining Machine Learning Predictions of Decision Support Systems in Healthcare
Polat Erdeniz, Seda, Veeranki, Sai, Schrempf, Michael, Jauk, Stefanie, Ngoc Trang Tran, Thi, Felfernig, Alexander, Kramer, Diether, Leodolter, Werner
Published in Current directions in biomedical engineering (02.09.2022)
Published in Current directions in biomedical engineering (02.09.2022)
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A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression
Lentzen, Manuel, Linden, Thomas, Veeranki, Sai, Madan, Sumit, Kramer, Diether, Leodolter, Werner, Frohlich, Holger
Published in IEEE journal of biomedical and health informatics (01.09.2023)
Published in IEEE journal of biomedical and health informatics (01.09.2023)
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Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort Study
Jauk, Stefanie, Kramer, Diether, Veeranki, Sai Pavan Kumar, Siml-Fraissler, Angelika, Lenz-Waldbauer, Angelika, Tax, Ewald, Leodolter, Werner, Gugatschka, Markus
Published in Dysphagia (01.08.2023)
Published in Dysphagia (01.08.2023)
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Development and Validation of a Multivariable Prediction Model for the Occurrence of Delirium in Hospitalized Gerontopsychiatry and Internal Medicine Patients
Kramer, Diether, Veeranki, Sai, Hayn, Dieter, Quehenberger, Franz, Leodolter, Werner, Jagsch, Christian, Schreier, Günter
Published in Studies in health technology and informatics (2017)
Published in Studies in health technology and informatics (2017)
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On the Representation of Machine Learning Results for Delirium Prediction in a Hospital Information System in Routine Care
Veeranki, Sai, Hayn, Dieter, Eggerth, Alphons, Jauk, Stefanie, Kramer, Diether, Leodolter, Werner, Schreier, Günter
Published in Studies in health technology and informatics (2018)
Published in Studies in health technology and informatics (2018)
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Development of a Machine Learning Model Predicting an ICU Admission for Patients with Elective Surgery and Its Prospective Validation in Clinical Practice
Jauk, Stefanie, Kramer, Diether, Stark, Günther, Hasiba, Karl, Leodolter, Werner, Schulz, Stefan, Kainz, Johann
Published in Studies in health technology and informatics (21.08.2019)
Published in Studies in health technology and informatics (21.08.2019)
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External Validation of a Machine Learning Based Delirium Prediction Software in Clinical Routine
Jauk, Stefanie, Veeranki, Sai Pavan Kumar, Kramer, Diether, Högler, Stefan, Mühlecker, David, Eberhartl, Erwin, Schueler, Arthur, Chvosta, Christian, Strasser, Wolfgang, Strasser, Reinhold, Leodolter, Werner
Published in Studies in health technology and informatics (16.05.2022)
Published in Studies in health technology and informatics (16.05.2022)
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Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented Approach
Schrempf, Michael, Polat Erdeniz, Seda, Kramer, Diether, Jauk, Stefanie, Veeranki, Sai P K, Ribitsch, Werner, Leodolter, Werner, Rainer, Peter P
Published in Studies in health technology and informatics (16.05.2022)
Published in Studies in health technology and informatics (16.05.2022)
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AN ERP-BASED PROCESS PERFORMANCE MEASUREMENT APPROACH IN AN OUTPATIENT CLINIC
Kohlbacher, Markus, Gautsch, Andreas, Zenz, Hartwig, Leodolter, Werner
Published in Academy of Health Care Management journal (01.07.2008)
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Published in Academy of Health Care Management journal (01.07.2008)
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Information Adapted Machine Learning Models for Prediction in Clinical Workflow
Jauk, Stefanie, Kramer, Diether, Quehenberger, Franz, Veeranki, Sai Pavan Kumar, Hayn, Dieter, Schreier, Günter, Leodolter, Werner
Published in Studies in health technology and informatics (2019)
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Published in Studies in health technology and informatics (2019)
Journal Article
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?
Veeranki, Sai Pavan Kumar, Kramer, Diether, Hayn, Dieter, Jauk, Stefanie, Eggerth, Alphons, Quehenberger, Franz, Leodolter, Werner, Schreier, Günter
Published in Studies in health technology and informatics (2019)
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Published in Studies in health technology and informatics (2019)
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