Optimal Treatment Selection for Hip Fracture Patients using a Hybrid Decision Making System

Hip fractures are most frequent cause of hospitalization after the fall in older population and consequently have been subject of great interest in medicine and biomedical engineering. It has been observed that the incidence of hip fractures is rising at the approximate rate of 1-3% per year, with subsequent mortality rates at approximately 33% in first year after the fracture. Although in some cases the hydrotherapy may be improve recovery of patients it may not be easily accessible due to limited resources. To this purpose we propose a hybrid decision making system consisting of computer-aided decision combined with an expert opinion. We then evaluate and compare the performance of the proposed algorithms using a data sample consisting of 413 patients that have been admitted to the Institute for Rehabilitation, Belgrade, Serbia.