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Publications

2025

​SBC-SHAP: Increasing the Accessi​​​​​​bility an​​d Interpretability of Machine Learning Algorithms for Sepsis Predictio​​​n

Walke, D., Steinbach, D., Kaiser, T., Schönhuth, A., Saake, G., Broneske, D., & Heyer, R. (2025). SBC-SHAP: Increasing the accessibility and interpretability of machine learning Algorithms for sepsis prediction. The Journal of Applied Laboratory Medicine, 10(5), 1226–1240. https://doi.org/10.1093/jalm/jfaf091

Edges are all you need: Potential of medical time series analysis on complete blood count dat​​a with graph neural n​​etworks​

Walke, D., Steinbach, D., Gibb, S., Kaiser, T., Saake, G., Ahrens, P. C., Broneske, D., & Heyer, R. (2025). Edges are all you need: Potential of medical time series analysis on complete blood count data with graph neural networks. PubMed, 20(7), e0327636. https://doi.org/10.1371/journal.pone.0327636

Increased platelet act​ivation and thrombo-inflammation in early and late-onset preeclampsia​​​

Singh, K., Lia, M., Sheeja, A. P., Federbusch, M., Gupta, A., Elwakiel, A., Köhler, M., Isermann, B., Stepan, H., & Kohli, S. (2025). Increased platelet activation and thrombo-inflammation in early and late-onset preeclampsia. Research and Practice in Thrombosis and Haemostasis, 9(5), 102956. https://doi.org/10.1016/j.rpth.2025.102956

Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Co​​nsume​​r Health Questions

Heineking, S., Probst, J., Steinbach, D., Potthast, M., & Scells, H. (2025). Ranking generated answers. In Lecture notes in computer science (pp. 128–137). https://doi.org/10.1007/978-3-031-88714-7_10

Split red blood cell units con​​tain defined extracellular K + levels, which are improved by a ​washing procedure

Hoppe, F., Maier, J., Kirsten, H., Federbusch, M., & Henschler, R. (2025). Split red blood cell units contain defined extracellular K+ levels, which are improved by a washing procedure. Vox Sanguinis. https://doi.org/10.1111/vox.70004

Comparison of light transm​​ission aggregometry in patients with bleeding of unknown cause and healthy blood donors

Metze, M., Hülsken, L., Federbusch, M., Weise, M., Siegemund, R., Siegemund, A., Henschler, R., Petros, S., & Pfrepper, C. (2025). Comparison of light transmission aggregometry in patients with bleeding of unknown cause and healthy blood donors. Hämostaseologie, 45(S 01), S39. https://doi.org/10.1055/s-0044-1801603

Method comparison of light transmission platelet aggregometry on Thrombomate XRA and PAP-8E within a rou​tine patient cohort

Federbusch, M., Pfrepper, C., Fischer, L., Buchold, J., & Heinemann, M. (2025). Method comparison of light transmission platelet aggregometry on Thrombomate XRA and PAP-8E within a routine patient cohort. Hämostaseologie, 45(S 01), S36–S37. https://doi.org/10.1055/s-0044-1801597

2024

Total Thrombus-Form​​ation System in​​​ Patients with Peripheral Artery Disease

Pfrepper, C., Franke, C., Metze, M., Weise, M., Siegemund, A., Siegemund, R., Federbusch, M., Henschler, R., Petros, S., & Konert, M. (2024). Total Thrombus-Formation System in Patients with Peripheral Artery Disease. Clinical and Applied Thrombosis/Hemostasis, 30. https://doi.org/10.1177/10760296241301412

Applying Machine Learning to Bl​​ood ​Count Data Predicts Sepsis with ICU Admission

Daniel Steinbach, Paul Ahrens, Maria Schmidt, Martin Federbusch, Lara Heuft, Christoph Lübbert, Matthias Nauck, Matthias Gründling, Berend Isermann, Sebastian Gibb, Thorsten Kaiser (2024): Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission. In Clinical Chemistry 70 (3), 2024. https://doi.org/10.1093/clinchem/hvae001​

2023

Evidence-based cutoffs for t​otal a​​nd adjusted calcium: a major factor in detecting severe hypo- and hypercalcemia

Maria Schmidt, Daniel Steinbach, Martin Federbusch, Anke Tönjes, Berend Isermann, Thorsten Kaiser, Felix Eckelt (2023): Evidence-based cutoffs for total and adjusted calcium: a major factor in detecting severe hypo- and hypercalcemia. In Clinical Chemistry and Laboratory Medicine, 2023. https://doi.org/10.1515/cclm-2023-0805

A Machine L​​earning-Derived, Bloo​​d Count Based Algorithm Improves Prediction of Sepsis

Daniel Steinbach, Paul Ahrens, Maria Schmidt, Martin Federbusch, Lara Heuft, Christoph Lübbert, Matthias Nauck, Matthias Gründling, Berend Isermann, Sebastian Gibb, Thorsten Kaiser (2023): A machine learning-derived, blood count based algorithm improves prediction of sepsis. In: Journal of Laboratory Medicine, vol. 47, no. 5, 2023. https://doi.org/10.1515/labmed-2023-0101 | Sepsis Poster DKLM 2023.pdf

Laboratory Diagnostic of Acute K​idney Injury and its Progression: Risk of Underdiagnosis in Female and Elderly Patients

Maria Schmidt, Thea Kister, Lara Heuft, Ma rtin Federbusch, Michael Haase,Thorsten Kaiser (2023): Laboratory diagnostic of acute kidney injury and its progression: Risk of underdiagnosis in female and elderly patients. In: Journal of Laboratory Medicine, vol. 47, no. 5, 2023.  https://doi.org/10.1515/labmed-2023-0101| AKI Poster DKLM 2023.pdf

Development, Design an​d Uti​​lization of a CDSS for Refeeding Syndrome in Real Life Inpatient Care

Lara Heuft, Jenny Voigt, Lars Selig, Maria Schmidt, Felix Eckelt, Daniel Steinbach, Martin Federbusch, Michael Stumvoll, Haiko Schlögl, Berend Isermann, Thorsten Kaiser (2023): Development, Design and Utilization of a CDSS for Refeeding Syndrome in Real Life Inpatient Care—A Feasibility Study. In Nutrients 15, no. 17: 3712. https://doi.org/10.3390/nu1 5173712

Higher Troponin T Serum Concen​​​trations in Hospital Patients without Diagnosed Cardiac Diseases Compared to a Population-Based Cohort

Romy Gessner, Christiane Gärtner, Maria Schmidt, Felix Eckelt, Kerstin Wirkner, Markus Löffler, Tobias Uhe, Berend Isermann, Ulrich Laufs, Thorsten Kaiser and Rolf Wachter (2023): Higher troponin T serum concentrations in hospital patients without diagnosed cardiac diseases compared to a population-based cohort. In Clinical Chemistry and Laboratory Medicine, 2023. https://doi.org/10.1515/cclm-2023-0040

Revising the MELD Score to​ Address S​​ex-Bias in Liver Transplant Prioritization for a German Cohort

Walter Costa Maria Beatriz, Christiane Gärtner, Maria Schmidt, Thomas Berg, Daniel Seehofer, Thorsten Kaiser (2023): Revising the MELD Score to Address Sex-Bias in Liver Transplant Prioritization for a German Cohort. In Journal of Personalized Medicine 13, no. 6: 963. https://doi.org/10.3390/jpm13060963

A New Machine-Lear​ning-Based Prediction of Survival in Patients with End-Stage Liver​​ Disease

Sebastian Gibb; Thomas Berg; Adam Herber; Berend Isermann; Thorsten Kaiser (2023): A new machine-learning-based prediction of survival in patients with end-stage liver disease. In Journal of Laboratory Medicine, vol. 47, no. 1, pp. 13-21. https://doi.org/10.1515/labmed-2022-0162

Refeeding Syndrome - Diagn​os​​tic Challenges and the Potential of Clinical Decision Support Systems

Lara Heuft; Jenny Voigt; Lars Selig; Michael Stumvoll; Haiko Schlögl; Thorsten Kaiser (2023): Refeeding syndrome - diagnostic challenges and the potential of clinical decision support systems. In: Deutsches Ärzteblatt International 120 (7), pp. 107–114. http://doi.org/10.3238/arztebl.m2022.0381

Challenge in​ Hyponatremic Patients - The Potential of a Laboratory-Based Decision Support ​System for Hyponatremia to Improve Patient's Safety

Tom Sicker; Martin Federbusch; Berend Isermann; Wiebke Fenske; Charlotte Fries; Maria Schmidt; Thorsten Kaiser (2023): Challenge in hyponatremic patients - The potential of a laboratory-based decision support system for hyponatremia to improve patient's safety. In: Clinical chemistry and laboratory medicine 61 (6). https://doi.org/10.1515/cclm-2022-0883

Laboratory Diagnostic of Acute Kidney ​Injury and Its Progression: Risk of Unde​rdiagnosis in Female and Elderly Patients

Thea Kister; Maria Schmidt; Lara Heuft; Martin Federbusch; Michael Haase; Thorsten Kaiser (2023): Laboratory Diagnostic of Acute Kidney Injury and Its Progression: Risk of Underdiagnosis in Female and Elderly Patients. In: Journal of Clinical Medicine 12, no. 3: 1092. https://doi.org/10.3390/jcm12031092​

2022

POL​​​AR – „POLypharmazie, Arzneimittelwechselwirkungen und Risiken" – wie können Daten aus der stationären Krankenversorgung zur Beurteilung beitragen?

Scherag, A., Andrikyan, W., Dreischulte, T., Dürr, P., Fromm, M. F., Gewehr, J., Jaehde, U., Kesselmeier, M., Maas, R., Thürmann, P. A., Meineke, F., Neumann, D., Palm, J., Peschel, T., Räuscher, E., Schulze, S., Thalheim, T., Wendt, T., Loeffler, M., . . . Zöller, D. (2022). POLAR – „POLypharmazie, Arzneimittelwechselwirkungen und Risiken" – wie können Daten aus der stationären Krankenversorgung zur Beurteilung beitragen? Prävention Und Gesundheitsförderung. https://doi.org/10.1007/s11553-022-00976-8

Welche Auswirkungen haben die neu empfohlenen Hämoglobin-Transfusionstrigger auf die klinische ​​Versorgung?

David Kotzerke; Maria Walter Costa; Jenny Voigt; Alisa Kleinhempel; Maria Schmidt; Tim Söhnlein; Thorsten Kaiser; Reinhard Henschler (2022): Novelle QLL 2020 – welche Auswirkungen haben die neu empfohlenen Hämoglobin-Transfusionstrigger auf die klinische Versorgung? In: Transfusionsmedizin 12 (01), S. 26–36. https://doi.org/10.1055/a-1669-3918.

Diagnosehilfe für akutes Niere​nversagen: Laborbasierter Alarm erhöht die Patientensicherheit

Thea Kister; Maria Schmidt; Jenny Voigt; Heike Richter; Michael Haase; Thorsten Kaiser (2022): Diagnosehilfe für akutes Nierenversagen: Laborbasierter Alarm erhöht die Patientensicherheit. In: Deutsches Ärzteblatt 119 (13), S. 567–568. https://www.aerzteblatt.de/archiv/224461/Diagnosehilfe-fuer-akutes-Nierenversagen-Laborbasierter-Alarm-erhoeht-die-Patientensicherheit.​​

2021

Revisited​​ Upper Reference Limits for Highly Sensitive Cardiac Troponin T in Relation to Age, Sex, and Renal Function

Christiane Gärtner; Romy Langhammer; Maria Schmidt; Martin Federbusch; Kerstin Wirkner; Markus Löffler; Berend Isermann; Ulrich Laufs; Rolf Wachter; Thorsten Kaiser (2021): Revisited Upper Reference Limits for Highly Sensitive Cardiac Troponin T in Relation to Age, Sex, and Renal Function. In: Journal of clinical medicine 10 (23). https://doi.org/10.3390/jcm10235508.

Acute Kidney Injury an​​d its Progression in Hospitalized Patients-Results from a Retrospective Multicentre Cohort Study with a Digital Decision Support System

Thea Sophie Kister; Johannes Remmler; Maria Schmidt; Martin Federbusch; Felix Eckelt; Berend Isermann; Heike Richter; Markus Wehner; Uwe Krause; Jan Halbritter; Carina Cundius; Markus Voigt; Alexander Kehrer; Jörg Michael Telle; Thorsten Kaiser (2021): Acute kidney injury and its progression in hospitalized patients-Results from a retrospective multicentre cohort study with a digital decision support system. In: PloS one 16 (7). https://doi.org/10.1371/journal.pone.0254608.

A Combined Clinical and Serum Biomarker-Based Approach May Allow Early Differentiation Between Patients W​​ith Minor Stroke and Transient Ischemic Attack as Well as Mid-term Prognostication

Pelz, J. O., Kubitz, K., Kamprad-Lachmann, M., Harms, K., Federbusch, M., Hobohm, C., & Michalski, D. (2021). A combined clinical and serum Biomarker-Based approach may allow early differentiation between patients with minor stroke and transient ischemic attack as well as mid-term prognostication. Frontiers in Neurology, 12. https://doi.org/10.3389/fneur.2021.724490

Vaccine-Induced Thrombotic Thromboc​ytopenia: Insights from Blood Smear

Zimmermann, S., Federbusch, M., Isermann, B., & Kohli, S. (2021). Vaccine-Induced Thrombotic Thrombocytopenia: Insights from Blood Smear. Thrombosis and Haemostasis, 121(12), 1696–1698. https://doi.org/10.1055/a-1681-7286

Acute kidney injury and its p​​rogression in hospitalized patients—Results from a retrospective multicentre cohort study with a digital decision support system

Kister, T. S., Remmler, J., Schmidt, M., Federbusch, M., Eckelt, F., Isermann, B., Richter, H., Wehner, M., Krause, U., Halbritter, J., Cundius, C., Voigt, M., Kehrer, A., Telle, J. M., & Kaiser, T. (2021). Acute kidney injury and its progression in hospitalized patients—Results from a retrospective multicentre cohort study with a digital decision support system. PLoS ONE, 16(7), e0254608. https://doi.org/10.1371/journal.pone.0254608

The Clinical Decision Support System AMPEL for Laboratory Diagnostics: Implementation and Technical Eval​​uation

Maria Beatriz Walter Costa; Mark Wernsdorfer; Alexander Kehrer; Markus Voigt; Carina Cundius; Martin Federbusch; Felix Eckelt; Johannes Remmler; Maria Schmidt; Sarah Pehnke; Christiane Gärtner; Markus Wehner; Berend Isermann; Heike Richter; Jörg Telle; Thorsten Kaiser (2021): The Clinical Decision Support System AMPEL for Laboratory Diagnostics: Implementation and Technical Evaluation. In: JMIR Medical Informatics 9 (6). https://doi.org/10.2196/20407.

Predictors for blood loss and transfusi​​on frequency to guide blood saving programs in primary knee- and hip-arthroplasty

Pempe, C., Werdehausen, R., Pieroh, P., Federbusch, M., Petros, S., Henschler, R., Roth, A., & Pfrepper, C. (2021). Predictors for blood loss and transfusion frequency to guide blood saving programs in primary knee- and hip-arthroplasty. Scientific Reports, 11(1). https://doi.org/10.1038/s41598-021-82779-z

Assessing the Technology and Market Rea​diness Level of a Software System - an Analysis Based on AMPEL

Georg Schleicher (2021): Assessing the technology and market readiness level of a software system - an analysis based on AMPEL. https://doi.org/10.5281/ZENODO.5763776.​

2020

Verbesserte Patientensicherheit durch​​ „Clinical Decision Support Systems" in der Labormedizin

Felix Eckelt; Johannes Remmler; Thea Sophie Kister; Mark Wernsdorfer; Heike Richter; Martin Federbusch; Michael Adler; Alexander Kehrer; Markus Voigt; Carina Cundius; Jörg Telle; Joachim Thiery; Thorsten Kaiser (2020): Verbesserte Patientensicherheit durch „clinical decision support systems" in der Labormedizin. In: Der Internist 61 (5), S. 452–459. https://doi.org/10.1007/s00108-020-00775-3​

2019

Development of a Laboratory Based Clinical Decision Support System (AMPEL) for the Management of Severe Hyponatremia

Tom Sicker, Martin Federbusch, Felix Eckelt, Carina Cundius, Markus Voigt, Alexander Kehrer, Jörg Telle, Thorsten Kaiser (2019): Development of a Laboratory Based Clinical Decision Support System (AMPEL) for the Management of Severe Hyponatremia. In: Journal of Laboratory Medicine, vol. 43, no. 4, 2019, pp. eA1-eA116. https://doi.org/10.1515/labmed-2019-0135

Introduction of a Laboratory Bas​​ed Decision Support System to Increase Patient Safety (AMPEL)

Felix Eckelt, Martin Federbusch, Johannes Remmler, Carina Cundius, Markus Voigt, Alexander Kehrer, Jörg Telle, Thorsten Kaiser (2019): Introduction of a Laboratory Based Decision Support System to Increase Patient Safety (AMPEL). In: Journal of Laboratory Medicine, vol. 43, no. 4, 2019, pp. eA1-eA116. https://doi.org/10.1515/labmed-2019-0135

A Digital Approach to Improve the Management of Patients with Inflammatory Immune Response (AMPEL)​

Sebastian Wegener; Felix Eckelt; Martin Federbusch; Carina Cundius; Markus Voigt; Alexander Kehrer; Jörg Telle; Thorsten Kaiser (2019): A Digital Approach to Improve the Management of Patients with Inflammatory Immune Response (AMPEL). In: Journal of Laboratory Medicine, vol. 43. https://doi.org/10.1515/labmed-2019-0135​

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