The aim of the project is to build a prediction model of hip fragility fracture using hospital data routinely collected in the traumatology department from the last 12 years and up to date Explainable Artificial Intelligence (XAI) tools. This model should be adapted to the "real world" conditions of the region and predict clinical data such as risk of fracture and refracture, mortality risk, fracture type classification and the generation of a specific comorbidity index.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Comparison between parameters intra-groups
Timeframe: 2023-2024
Comparison between parameters inter-groups
Timeframe: 2023-2024