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document
Engel, Friso (author)
Introduction<br/>In the era of growing antimicrobial resistance, early detection and immediate treatment of antibiotic-resistant infections are crucial to ensuring successful outcomes in critically ill patients. The aim of this study is to apply machine learning (ML) to create classifiers that predict antibiotic resistance in postoperative...
master thesis 2023
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Böhm, Dennis (author)
With a 5-year survival rate of only 9%, pancreatic cancer is one of the deadliest types of cancer. Among other things, this is caused by the extreme difficulty of diagnosing recurrent pancreatic cancer in an early stage. One of the important next steps in discovering pancreatic cancer automatically on a CT scan is finding healthy pancreatic...
master thesis 2023
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Booij, M. J. (author), Harlaar, J. (author), Royen, B. J.van (author), Nolte, P. A. (author), Haverkamp, D. (author), van den Noort, Josien C. (author)
Background: After total knee replacement (TKR) some patients report low self-perceived function, which is clinically measured using patient reported outcome measures (PROMs). However, PROMs, e.g. the Oxford Knee Score (OKS), inherently lack objective parameters of knee function. Biomechanical gait analysis is an objective and reliable...
journal article 2021