Title :
Bayesian-based diagnostic decision-support for pediatrics
Author :
Pyper, C. ; Frize, M. ; Lindgaard, G.
Author_Institution :
Systems and Computer Engineering from Carleton University, Canada
Abstract :
The goal of this project was to develop a Pediatric Decision Support system (PDS) that allows a resident physician to define a patient case based on symptoms (diagnostic signs and test results) and generates a list of possible diagnoses based on the World Health Organization´s International Classification of Diseases (ICD10). The intent is to improve the diagnostic approach taken by resident physicians and eventually become a training tool in medical education programs.
Keywords :
Bayesian methods; Costs; Decision support systems; Delay; Equations; Medical diagnostic imaging; Medical services; Pediatrics; Probability; System testing; Algorithms; Bayes Theorem; Computer Graphics; Computer Simulation; Decision Making; Decision Support Systems, Clinical; Decision Support Techniques; Humans; Internet; Models, Statistical; Pediatrics; Reproducibility of Results; Software; Systems Integration; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650165
