S72.0
Conditions
Interventions
Group 1: Inclusion of all patients = 60 years with fractures after low-energy trauma. Retrospectively, all medical (medical and nursing) documentation in ward forms, medical records, anamnesis forms,
Sponsors
Muskuloskelettales Universitätszentrum München, LMU Klinikum
Eligibility
Sex/Gender
All
Age
60 Years to No maximum
Inclusion criteria
Inclusion criteria: Inclusion of all patients = 60 years with fractures after low-energy trauma.
Exclusion criteria
Exclusion criteria: Only patients after high-speed trauma are excluded.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The aim of this study is to retrospectively process data collected during routine patient care and to use machine learning methods to identify complex patterns within the patient data and make them usable for prognostic models. In a second step, the methodology will be validated by comparing the calculated and actual data. | — |
Countries
Germany
Contacts
Public ContactJohannes Gleich
Muskuloskelettales Universitätszentrum München, LMU Klinikum
Outcome results
None listed