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Diether Kramer

Showing results (31-40 of 42) with videos related to

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Dysphagia|January 10, 2023
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort StudyStefanie Jauk, Diether Kramer, Sai Pavan Kumar Veeranki, et al.
Studies in Health Technology and Informatics|May 5, 2018
EHR Text Categorization for Enhanced Patient-Based Document NavigationMarkus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, et al.
Studies in Health Technology and Informatics|April 24, 2025
It's All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital ProvidersJulian Gutheil, Philip Stampfer, Diether Kramer, et al.
BMC Medical Informatics and Decision Making|April 5, 2019
EHR problem list clustering for improved topic-space navigationMarkus Kreuzthaler, Bastian Pfeifer, Jose Antonio Vera Ramos, et al.
BMC Medical Informatics and Decision Making|January 15, 2026
Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective studySai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, et al.
Studies in Health Technology and Informatics|April 29, 2024
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot StudyDiether Kramer, Stefanie Jauk, Sai Veeranki, et al.
Studies in Health Technology and Informatics|May 20, 2022
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical RoutineStefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, et al.
Studies in Health Technology and Informatics|April 24, 2025
Harmonization of Electronic Medical Records for Federated Learning: Addressing Challenges in International Healthcare CollaborationsLena Lorenzer, Michael Schrempf, Stefanie Jauk, et al.
Studies in Health Technology and Informatics|May 12, 2026
Preliminary Investigation of Federated Learning for MACE Prediction from Electronic Medical Records: A Multicontinental StudyGeorg Slamanig, Stefan Kalabakov, Lena Lorenzer, et al.
European Stroke Journal|September 2, 2023
Long-term risk of recurrent cerebrovascular events after patent foramen ovale closure: Results from a real-world stroke cohortMarkus Kneihsl, Susanna Horner, Isra Hatab, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
Dysphagia|January 10, 2023
Evaluation of a Machine Learning-Based Dysphagia Prediction Tool in Clinical Routine: A Prospective Observational Cohort StudyStefanie Jauk, Diether Kramer, Sai Pavan Kumar Veeranki, et al.
Studies in Health Technology and Informatics|May 5, 2018
EHR Text Categorization for Enhanced Patient-Based Document NavigationMarkus Kreuzthaler, Bastian Pfeifer, José Antonio Vera Ramos, et al.
Studies in Health Technology and Informatics|April 24, 2025
It's All About Specific Features: Development of Prediction Models for Key Geriatric Risks Across Three Hospital ProvidersJulian Gutheil, Philip Stampfer, Diether Kramer, et al.
BMC Medical Informatics and Decision Making|April 5, 2019
EHR problem list clustering for improved topic-space navigationMarkus Kreuzthaler, Bastian Pfeifer, Jose Antonio Vera Ramos, et al.
BMC Medical Informatics and Decision Making|January 15, 2026
Development and validation of random-forest based federated ensemble learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective studySai Pavan Kumar Veeranki, Dieter Hayn, Diether Kramer, et al.
Studies in Health Technology and Informatics|April 29, 2024
Machine Learning-Based Prediction of Malnutrition in Surgical In-Patients: A Validation Pilot StudyDiether Kramer, Stefanie Jauk, Sai Veeranki, et al.
Studies in Health Technology and Informatics|May 20, 2022
External Validation of a Machine Learning Based Delirium Prediction Software in Clinical RoutineStefanie Jauk, Sai Pavan Kumar Veeranki, Diether Kramer, et al.
Studies in Health Technology and Informatics|April 24, 2025
Harmonization of Electronic Medical Records for Federated Learning: Addressing Challenges in International Healthcare CollaborationsLena Lorenzer, Michael Schrempf, Stefanie Jauk, et al.
Studies in Health Technology and Informatics|May 12, 2026
Preliminary Investigation of Federated Learning for MACE Prediction from Electronic Medical Records: A Multicontinental StudyGeorg Slamanig, Stefan Kalabakov, Lena Lorenzer, et al.
European Stroke Journal|September 2, 2023
Long-term risk of recurrent cerebrovascular events after patent foramen ovale closure: Results from a real-world stroke cohortMarkus Kneihsl, Susanna Horner, Isra Hatab, et al.
Pageof 5