{"type":"ScholarlyArticle","title":"Recognition-Based Diagnostic Reasoning","authors":[{"name":"William B. Thompson","slug":"william-b-thompson","given":"William B.","family":"Thompson","affiliation":""},{"name":"Paul E. Johnson","slug":"paul-e-johnson","given":"Paul E.","family":"Johnson","affiliation":""},{"name":"James B. Moen","slug":"james-b-moen","given":"James B.","family":"Moen","affiliation":""}],"abstract":"Expertise in fault diagnosis often depends on recognizing particular patterns in observed data corresponding to situations that have prev10usly been seen and correctly interpreted . This approach can result. m significant efficiencies by avoiding a costly and detatled analysis based on the causal rel':'t10nships between faults and observable data. Recogrullon-based reasoning requires highly focused search strategies in order to extract relevant information from a knowledge base that contains a large number of prototyp es for various possible faults. This paper describes a model of recognition-based reasoning and descnbes ~ Implementation of the model. designed to solve diagnostic problems in pediatric cardiology. The model . first analyzes portions of the patient data to hypothe .slze a small set of potential diseases. Knowledge specific to each selected hypothesis is then used to refine these initial choices . The model has been validated against actual hospital cases and performs in a manner comparable to expert physicians.","doi":null,"url":"https://ijcai.org/proceedings/1983/57","pdf":"https://ijcai.org/proceedings/1983/0057.pdf","markdown":"https://ijcai.org/proceedings/1983/57.md","bibtex":"https://ijcai.org/proceedings/1983/bibtex/57","volume":{"slug":"1983","title":"Proceedings of the Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1983","url":"https://ijcai.org/proceedings/1983/","year":1983,"location":"Karlsruhe, West Germany","dates":"","editors":"Alan Bundy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Expert Systems","track":"Expert Systems","number":57,"pages":{"first":236,"last":237},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}