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Jonas Chromik

Showing results (1-10 of 9) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Optimal Deployment in Emergency Medicine with Genetic Algorithm Exemplified by Lifeguard Assignments<sup></sup>Jonas Chromik, Bert Arnrich
International Journal of Medical Informatics|February 1, 2024
ARTEMIS: An alarm threshold and policy mining system for the intensive care unitJonas Chromik, Anne Rike Flint, Bert Arnrich
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Impact of Custom Features of Do-it-yourself Artificial Pancreas Systems (DIYAPS) on Glycemic Outcomes of People with Type 1 DiabetesWiktoria Staszak, Jonas Chromik, Katarina Braune, et al.
Sensors (Basel, Switzerland)|January 11, 2022
SensorHub: Multimodal Sensing in Real-Life Enables Home-Based StudiesJonas Chromik, Kristina Kirsten, Arne Herdick, et al.
Computers in Biology and Medicine|October 25, 2024
Enabling machine learning models in alarm fatigue research: Creation of a large relevance-annotated oxygen saturation alarm data setJonas Chromik, Anne Rike Flint, Mona Prendke, et al.
Frontiers in Digital Health|September 2, 2022
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature reviewJonas Chromik, Sophie Anne Ines Klopfenstein, Bjarne Pfitzner, et al.
Journal of Medical Internet Research|May 5, 2025
Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods ApproachSophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Perioperative Risk Assessment in Pancreatic Surgery Using Machine LearningBjarne Pfitzner, Jonas Chromik, Rachel Brabender, et al.
JMIR Medical Informatics|March 21, 2023
A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability StudyElena Williams, Manuel Kienast, Evelyn Medawar, et al.
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Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Optimal Deployment in Emergency Medicine with Genetic Algorithm Exemplified by Lifeguard Assignments<sup></sup>Jonas Chromik, Bert Arnrich
International Journal of Medical Informatics|February 1, 2024
ARTEMIS: An alarm threshold and policy mining system for the intensive care unitJonas Chromik, Anne Rike Flint, Bert Arnrich
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Impact of Custom Features of Do-it-yourself Artificial Pancreas Systems (DIYAPS) on Glycemic Outcomes of People with Type 1 DiabetesWiktoria Staszak, Jonas Chromik, Katarina Braune, et al.
Sensors (Basel, Switzerland)|January 11, 2022
SensorHub: Multimodal Sensing in Real-Life Enables Home-Based StudiesJonas Chromik, Kristina Kirsten, Arne Herdick, et al.
Computers in Biology and Medicine|October 25, 2024
Enabling machine learning models in alarm fatigue research: Creation of a large relevance-annotated oxygen saturation alarm data setJonas Chromik, Anne Rike Flint, Mona Prendke, et al.
Frontiers in Digital Health|September 2, 2022
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature reviewJonas Chromik, Sophie Anne Ines Klopfenstein, Bjarne Pfitzner, et al.
Journal of Medical Internet Research|May 5, 2025
Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods ApproachSophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Perioperative Risk Assessment in Pancreatic Surgery Using Machine LearningBjarne Pfitzner, Jonas Chromik, Rachel Brabender, et al.
JMIR Medical Informatics|March 21, 2023
A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability StudyElena Williams, Manuel Kienast, Evelyn Medawar, et al.
Pageof 1