| Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review J Chromik, SAI Klopfenstein, B Pfitzner, ZC Sinno, B Arnrich, F Balzer, ... Frontiers in digital health 4, 843747, 2022 | 24 | 2022 |
| A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study E Williams, M Kienast, E Medawar, J Reinelt, A Merola, SAI Klopfenstein, ... JMIR Medical Informatics 11, e43847, 2023 | 13 | 2023 |
| SensorHub: Multimodal sensing in real-life enables home-based studies J Chromik, K Kirsten, A Herdick, AM Kappattanavar, B Arnrich Sensors 22 (1), 408, 2022 | 10 | 2022 |
| Certainty in QRS detection with artificial neural networks J Chromik, L Pirl, J Beilharz, B Arnrich, A Polze Biomedical Signal Processing and Control 68, 2021 | 8 | 2021 |
| How to Annotate Patient Monitoring Alarms in Intensive Care Medicine for Machine Learning SAI Klopfenstein, AR Flint, P Heeren, M Prendke, A Chaoui, T Ocker, ... | 4 | 2023 |
| Perioperative risk assessment in pancreatic surgery using machine learning B Pfitzner, J Chromik, R Brabender, E Fischer, A Kromer, A Winter, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 4 | 2021 |
| Choosing the Appropriate QRS Detector. J Eilers, J Chromik, B Arnrich BIOSIGNALS, 50-59, 2021 | 4 | 2021 |
| Forecasting Thresholds Alarms in Medical Patient Monitors using Time Series Models J Chromik, N Pfitzner, Bjarne, Ihde, M Michaelis, D Schmidt, ... 15th International Joint Conference on Biomedical Engineering Systems and …, 2022 | 3 | 2022 |
| Extracting Alarm Events from the MIMIC-III Clinical Database J Chromik, N Pfitzner, Bjarne, Ihde, M Michaelis, D Schmidt, ... 15th International Joint Conference on Biomedical Engineering Systems and …, 2022 | 3 | 2022 |
| Recommender System for Alarm Thresholds in Medical Patient Monitors. D Schmidt, J Chromik, B Arnrich HEALTHINF, 74-85, 2023 | 2 | 2023 |
| Impact of Custom Features of Do-It-Yourself Artificial Pancreas Systems (DIYAPS) on Glycemic Outcomes of People With Type 1 Diabetes W Staszak, J Chromik, K Braune, B Arnrich 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| FHIR-DHP: A Standardized Clinical Data Harmonisation Pipeline for scalable AI application deployment E Williams, M Kienast, E Medawar, J Reinelt, A Merola, ... medRxiv, 2022.11. 07.22281564, 2022 | 1 | 2022 |
| Optimal Deployment in Emergency Medicine with Genetic Algorithm Exemplified by Lifeguard Assignments* J Chromik, B Arnrich 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| Improving hosted continuous integration services C Weyand, J Chromik, L Wolf, S Kötte, K Haase, T Felgentreff, J Lincke, ... Universitätsverlag Potsdam, 2017 | 1 | 2017 |
| Enabling machine learning models in alarm fatigue research: Creation of a large relevance-annotated oxygen saturation alarm data set J Chromik, AR Flint, M Prendke, B Arnrich, AS Poncette Computers in Biology and Medicine 183, 109244, 2024 | | 2024 |
| Assessing Certainty of QRS Detection on Single-Lead Electrocardiograms Based on Artificial Neural Networks J Chromik, J Beilharz, L Pirl HPI Future SOC Lab–Proceedings 2019, 9, 2024 | | 2024 |
| ARTEMIS: An alarm threshold and policy mining system for the intensive care unit J Chromik, AR Flint, B Arnrich International Journal of Medical Informatics 184, 105349, 2024 | | 2024 |
| HPI Future SOC Lab–Proceedings 2019 R Kuban, R Rotta, J Nolte, J Chromik, JJ Beilharz, L Pirl, T Friedrich, ... Universitätsverlag Potsdam, 2024 | | 2024 |
| Predictive Alarm Prevention by Forecasting Threshold Alarms at the Intensive Care Unit J Chromik, B Pfitzner, N Ihde, M Michaelis, D Schmidt, SAI Klopfenstein, ... International Joint Conference on Biomedical Engineering Systems and …, 2022 | | 2022 |
