Authors:
Aleksandar Jeremic
1
;
Natasa Radosavljevic
2
;
Dejan Nikolic
3
and
Milica Lazovic
4
Affiliations:
1
McMaster University, Canada
;
2
Institute for Rehabilitation Belgrade, Serbia
;
3
University Childrens Hospital, Serbia
;
4
University of Belgrade, Serbia
Keyword(s):
Macular Oedema, Prediction, Estimation, Least-squares Estimation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computer Vision, Visualization and Computer Graphics
;
Detection and Identification
;
Medical Image Detection, Acquisition, Analysis and Processing
;
Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics
Abstract:
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.