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Michael Schrempf

Showing results (11-20 of 18) with videos related to

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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|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|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.
Journal of Neurology|May 11, 2025
Predicting delirium in acute ischemic stroke: the PREDELIS scoreNatalie Berger, Diether Kramer, Michael Schrempf, et al.
Scientific Reports|March 10, 2019
Black carbon and other light-absorbing impurities in snow in the Chilean AndesPenny M Rowe, Raul R Cordero, Stephen G Warren, et al.
Plos One|October 11, 2024
Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretabilityGilson Yuuji Shimizu, Michael Schrempf, Elen Almeida Romão, et al.
Pageof 2

Showing results (11-20 of 18) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 18 results.
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|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|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.
Journal of Neurology|May 11, 2025
Predicting delirium in acute ischemic stroke: the PREDELIS scoreNatalie Berger, Diether Kramer, Michael Schrempf, et al.
Scientific Reports|March 10, 2019
Black carbon and other light-absorbing impurities in snow in the Chilean AndesPenny M Rowe, Raul R Cordero, Stephen G Warren, et al.
Plos One|October 11, 2024
Machine learning-based risk prediction for major adverse cardiovascular events in a Brazilian hospital: Development, external validation, and interpretabilityGilson Yuuji Shimizu, Michael Schrempf, Elen Almeida Romão, et al.
Pageof 2