Machine Learning-Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance
Sun, Hong, Depraetere, Kristof, Meesseman, Laurent, Cabanillas Silva, Patricia, Szymanowsky, Ralph, Fliegenschmidt, Janis, Hulde, Nikolai, von Dossow, Vera, Vanbiervliet, Martijn, De Baerdemaeker, Jos, Roccaro-Waldmeyer, Diana M, Stieg, Jörg, Domínguez Hidalgo, Manuel, Dahlweid, Fried-Michael
Published in Journal of medical Internet research (07.06.2022)
Published in Journal of medical Internet research (07.06.2022)
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Evaluating gender bias in ML-based clinical risk prediction models: A study on multiple use cases at different hospitals
Cabanillas Silva, Patricia, Sun, Hong, Rodriguez-Brazzarola, Pablo, Rezk, Mohamed, Zhang, Xianchao, Fliegenschmidt, Janis, Hulde, Nikolai, von Dossow, Vera, Meesseman, Laurent, Depraetere, Kristof, Szymanowsky, Ralph, Stieg, Jörg, Dahlweid, Fried-Michael
Published in Journal of biomedical informatics (01.09.2024)
Published in Journal of biomedical informatics (01.09.2024)
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Artificial intelligence predicts delirium following cardiac surgery: A case study
Fliegenschmidt, Janis, Hulde, Nikolai, Preising, Maria G., Ruggeri, Silvia, Szymanowski, Ralph, Meesseman, Laurent, Sun, Hong, von Dossow, Vera
Published in Journal of clinical anesthesia (01.12.2021)
Published in Journal of clinical anesthesia (01.12.2021)
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Leveraging artificial intelligence for the management of postoperative delirium following cardiac surgery
Fliegenschmidt, Janis, Hulde, Nikolai, Gedinha Preising, Maria, Ruggeri, Silvia, Szymanowsky, Ralph, Meesseman, Laurent, Sun, Hong, Dahlweid, Michael, von Dossow, Vera
Published in European Journal of Anaesthesiology Intensive Care (01.02.2023)
Published in European Journal of Anaesthesiology Intensive Care (01.02.2023)
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