Predictive Model Development to Identify Failed Healing in Patients after Non–Union Fracture Surgery

Title:: Predictive Model Development to Identify Failed Healing in Patients after Non–Union Fracture Surgery
Document type:: Konferenzbeitrag
Author(s):: Donié, Cedric; Reumann, Marie K.; Hartung, Tony; Braun, Benedikt J.; Histing, Tina; Endo, Satoshi; Hirche, Sandra
Keywords:: machine learning, predictive models, non-union, bone healing, fracture healing, failed healing, pseudoarthrosis, personalized medicine
Book / Congress title:: Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2024)
Publisher address:: Orlando, Florida, U.S.A.
Year:: 2024
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