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Diether Kramer

Showing results (21-30 of 42) with videos related to

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European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|May 14, 2024
Clinical evaluation of a machine learning-based dysphagia risk prediction toolMarkus Gugatschka, Nina Maria Egger, K Haspl, et al.
Studies in Health Technology and Informatics|May 24, 2019
Information Adapted Machine Learning Models for Prediction in Clinical WorkflowStefanie Jauk, Diether Kramer, Franz Quehenberger, et al.
Studies in Health Technology and Informatics|August 24, 2019
An Improvised Classification Model for Predicting DeliriumSai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, et al.
Journal of the American Medical Informatics Association : JAMIA|September 24, 2020
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation studyStefanie Jauk, Diether Kramer, Birgit Großauer, et al.
The Journal of Allergy and Clinical Immunology|November 7, 2025
Machine learning-assisted diagnosis classification of primary immune dysregulation using IDDA2.1 phenotype profilingMalte Schwitzkowski, Sai Pavan Kumar Veeranki, Benedikt N Seidel, et al.
Studies in Health Technology and Informatics|May 24, 2019
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, et al.
European Journal of Pediatrics|October 18, 2025
Complete blood count reference intervals for extremely preterm neonatesChristina H Wolfsberger, Benedikt N Seidel, Linda Fleck, et al.
Studies in Health Technology and Informatics|May 20, 2022
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented ApproachMichael Schrempf, Seda Polat Erdeniz, Diether Kramer, et al.
Studies in Health Technology and Informatics|May 12, 2023
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory DataJulian Gutheil, Philip Stampfer, Diether Kramer, et al.
Studies in Health Technology and Informatics|May 12, 2023
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, et al.
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Showing results (21-30 of 42) with videos related to

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Pageof 5
European Archives of Oto-Rhino-Laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery|May 14, 2024
Clinical evaluation of a machine learning-based dysphagia risk prediction toolMarkus Gugatschka, Nina Maria Egger, K Haspl, et al.
Studies in Health Technology and Informatics|May 24, 2019
Information Adapted Machine Learning Models for Prediction in Clinical WorkflowStefanie Jauk, Diether Kramer, Franz Quehenberger, et al.
Studies in Health Technology and Informatics|August 24, 2019
An Improvised Classification Model for Predicting DeliriumSai Pavan Kumar Veeranki, Dieter Hayn, Stefanie Jauk, et al.
Journal of the American Medical Informatics Association : JAMIA|September 24, 2020
Risk prediction of delirium in hospitalized patients using machine learning: An implementation and prospective evaluation studyStefanie Jauk, Diether Kramer, Birgit Großauer, et al.
The Journal of Allergy and Clinical Immunology|November 7, 2025
Machine learning-assisted diagnosis classification of primary immune dysregulation using IDDA2.1 phenotype profilingMalte Schwitzkowski, Sai Pavan Kumar Veeranki, Benedikt N Seidel, et al.
Studies in Health Technology and Informatics|May 24, 2019
Is Regular Re-Training of a Predictive Delirium Model Necessary After Deployment in Routine Care?Sai Pavan Kumar Veeranki, Diether Kramer, Dieter Hayn, et al.
European Journal of Pediatrics|October 18, 2025
Complete blood count reference intervals for extremely preterm neonatesChristina H Wolfsberger, Benedikt N Seidel, Linda Fleck, et al.
Studies in Health Technology and Informatics|May 20, 2022
Development of an Architecture to Implement Machine Learning Based Risk Prediction in Clinical Routine: A Service-Oriented ApproachMichael Schrempf, Seda Polat Erdeniz, Diether Kramer, et al.
Studies in Health Technology and Informatics|May 12, 2023
Frail People in LABLand: Development of an Easy-to-Use Machine Learning Model to Identify Frail People in Hospitals Based on Laboratory DataJulian Gutheil, Philip Stampfer, Diether Kramer, et al.
Studies in Health Technology and Informatics|May 12, 2023
Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events for ELGA-Authorized Clinics1Seda Polat Erdeniz, Diether Kramer, Michael Schrempf, et al.
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