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Prediction of Severe Gastrointestinal Bleeding Events in Hemodialysis: Collaborative Development of Machine Learning Model Within INSPIRE2021 Journal of the American Society of Nephrology conference-abstract Medicine Dialysis and Renal Disease Management
Suman Kumar Lama, Sheetal Chaudhuri, Joanna L. Willetts, John W. Larkin, Anke C. Winter, Manuela Stauss‐Grabo, +6 more
0citations -
Machine Learning-Based Prediction of in-Hospital Death for Patients with Takotsubo Syndrome: The InterTAK-ML Model2023 European Journal of Heart Failure article Medicine Takotsubo Cardiomyopathy and Associated Phenomena Open access
Ovidio DE FILIPPO, Victoria L. Cammann, Corrado Pancotti, Davide Di Vece, Angelo Silverio, Victor Schweiger, +93 more
43citations -
Deductively coding psychosocial autopsy interview data using a few-shot learning large language model2025 Frontiers in Public Health article Social Sciences Computational and Text Analysis Methods Open access
Elias Balt, Salim Salmi, Sandjai Bhulai, Stefan Vrinzen, Merijn Eikelenboom, Renske Gilissen, +3 more
15citations -
Process model design for positive displacement compressors and their experimental validation: Comparison of Optimal Experimental Design and Machine Learning2023 International Journal of Refrigeration article Engineering Refrigeration and Air Conditioning Technologies
Christian Vering, Julian Möntenich, Martin Rätz, Tim Klebig, Rita Streblow, Dirk Müller
4citations -
Explicit learning stochastic model predictive control with general ambiguity sets in homogeneous charge compression ignition applications2026 Control Engineering Practice article Engineering Advanced Control Systems Optimization Open access
Xu Chen, Julian Bedei, Jakob Andert, Lorenz Dörschel, Heike Vallery
0citations -
A hybrid model combining evolutionary probability and machine learning leverages data-driven protein engineering2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Protein Structure and Dynamics Open access
Alexander-Maurice Illig, Niklas E. Siedhoff, Ulrich Schwaneberg, Mehdi D. Davari
11citations -
Development and validation of a machine learning model to predict cognitive behavioral therapy outcome in obsessive-compulsive disorder using clinical and neuroimaging data2025 Journal of Affective Disorders article Psychology Obsessive-Compulsive Spectrum Disorders Open access
Laurens A. van de Mortel, Willem B. Bruin, Pino Alonso, Sara Bertolín, Jamie D. Feusner, Joyce Y. Guo, +16 more
6citations -
Development of a machine‐learning model to identify the impacts of pesticides characteristics on soil microbial communities from high‐throughput sequencing data2022 Environmental Microbiology article Environmental Science Pesticide and Herbicide Environmental Studies Open access
Mingjing Ke, Nuohan Xu, Zhenyan Zhang, Danyan Qiu, Jian Kang, Tao Lu, +5 more
25citations -
The Impact of Digital Histopathology Batch Effect on Deep Learning Model Accuracy and Bias2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access
Frederick Matthew Howard, James M. Dolezal, Sara E. Kochanny, Jefree J. Schulte, Heather Chen, Lara Rosaline Heij, +7 more
25citations -
Validation of a deep-learning segmentation model for adult and pediatric head and neck radiotherapy in different patient positions2023 Physics and Imaging in Radiation Oncology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Linda Chen, Patricia Platzer, Christian Reschl, Mansure Schafasand, Ankita Nachankar, C.L. Hajdusich, +4 more
3citations -
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study2021 Journal of Medical Internet Research article Computer Science AI in cancer detection Open access
Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more
64citations