Title :
SSDCVA: Support system to the diagnostic of cerebral vascular accident for physiotherapy students
Abstract :
The aim of this paper is to provide an intelligent pedagogical agents based on cases to aid in the diagnosis and treatment of patients with neurological disorders. The study proposes an architecture which facilitates the decision making process of students in the healthcare field, in order to advice adequate treatment for patients suffering a cerebral vascular accident (CVA).
Keywords :
biomedical education; brain; case-based reasoning; decision making; health care; intelligent tutoring systems; medical diagnostic computing; medical disorders; multi-agent systems; neurophysiology; patient diagnosis; patient treatment; CVA; SSDCVA diagnostic support system; case-based reasoning; cerebral vascular accident; decision making process; healthcare field; intelligent pedagogical agent; neurological disorder; patient diagnosis; patient treatment; physiotherapy student; Accidents; Artificial intelligence; Decision making; Education; Humans; Intelligent agent; Intelligent sensors; Medical diagnostic imaging; Medical services; Medical treatment;
Conference_Titel :
Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on
Conference_Location :
Albuquerque, NM
Print_ISBN :
978-1-4244-4879-1
Electronic_ISBN :
1063-7125
DOI :
10.1109/CBMS.2009.5255455
