Case-based learning of plans and goal states in medical diagnosis

Abstract

Case-based learning of plans and goal states in medical diagnosis case-based reasoning, adaptive planning, medical diagnosis, goal state learning, learning from experience.1

Knowledge Based Expert Systems in Bioinformatics

“…Each of these approaches has advantages and disadvantages and as a result, many systems in the medical domain use a combined approach. One example is the BOLERO expert system (Lopez et al, 1997), which uses CBR to improve a RBR medical diagnosis based on the information available about the patient. The MIKAS system (Khan et al, 1997) also integrates CBR and RBR, with the goal of automatically providing a diet recommendation that is strongly tailored to the individual requirements and food preferences of a patient.…”

Integrating data mining with case-based reasoning for chronic diseases prognosis and diagnosis

“…Ló pez and Plaza introduced a case-based system, BOLERO, which learns both plans and goal states in medical diagnosis (Ló pez & Plaza, 1997). Evans presents a case-based assistant for diagnosis and analysis of dysmorphic syndromes (Evans, 1999).…”

Intelligent Computing Techniques for the Detection of Sleep Disorders: A Review

“…CBR is able to utilize the exact knowledge of previously experienced, concrete problem cases. It favors learning from experience, as it is easier to learn from an actual problem solving experience (Lopez, 1997 andKhan, 2003). The first system that might be called a case-based reasoned was the CYRUS system, developed by Janet Kolodner.…”

“…Due to contrasted advantage and disadvantage of RBR and CBR, sometimes it is difficult to solve problem independently. But, if their advantages are realized and disadvantages are eliminated then their different junctions presents considerable advantages like as BOLERO (Lopez, 1997) and MIKAS (Khan, 2003) which integrate RBR and CBR, PROTOS (Porter, 1986) and CASEY (Koton, 1988) which integrate CBR and MBR, T-IDDM (Montani, 2003) which integrate RBR, CBR and MBR and GREBE that has knowledge base consists of rule and cases related with laws for injuries to workers (Aamodt, 1994 andLopez, 1997). The modification of hidden knowledge into precise rules would lead to loss and irregularity of knowledgeable contents (Zurada, 1992).…”