DocumentCode :
3520828
Title :
Application of CBR on viral fever detection system(VFDS)
Author :
Deyashi, Samaresh ; Banerjee, Debrup ; Chakraborty, Baisakhi ; Ghosh, D. ; Debnath, Joyati
Author_Institution :
Nat. Inst. of Technol., Durgapur, India
fYear :
2011
fDate :
26-29 July 2011
Firstpage :
660
Lastpage :
665
Abstract :
In this paper an approach for developing knowledge-based viral fever detection system based on the methodology of case-based reasoning (CBR) is described. CBR is an approach for solving problems based on solutions of similar past case. Cases are stored in a database of cases called a case base (CB). To solve an actual problem a notation of similarities between problems is used to retrieve similar cases from the case base. The solutions of these similar cases are then used as starting points for solving the actual problem. This paper discusses on a viral fever detection system (VFDS) which helps the hospital or medical centre to detect the type of disease the patient is suffering from after being affected by some particular viral fever with its respective symptoms.
Keywords :
bio-optics; biomedical measurement; biothermics; case-based reasoning; diseases; information retrieval systems; infrared detectors; knowledge based systems; medical diagnostic computing; microorganisms; thermometers; case based reasoning; case retrieval; disease; hospital; knowledge based system; medical centre; viral fever detection system; Cognition; Diseases; Equations; Mathematical model; Pediatrics; Temperature measurement; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2011 9th IEEE International Conference on
Conference_Location :
Caparica, Lisbon
Print_ISBN :
978-1-4577-0435-2
Electronic_ISBN :
978-1-4577-0433-8
Type :
conf
DOI :
10.1109/INDIN.2011.6035037
Filename :
6035037
Link To Document :
بازگشت