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
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