A combination of CBR and bottom up approach for fever detection

In this paper, an application of knowledge-based fever detection based on the combination of methodology of case-based reasoning (CBR) and bottom up approach has been proposed. 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. Bottom up approach is needed when there are multiple solutions and among these, only one solution needs to be identified. This paper discusses on a fever detection system which helps the hospitals to detect the type of fever the patient is suffering from using symptoms of patients.