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dc.contributor.authorLozano-Perez, Tomas
dc.date.accessioned2008-08-26T14:07:19Z
dc.date.available2008-08-26T14:07:19Z
dc.date.issued1976-12
dc.identifier.urihttp://hdl.handle.net/1721.1/41963
dc.descriptionThis report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's research is provided in part by the Advanced Research Projects Agency of the Department of Defense under Office of Naval Research contract N00014-75-C-0643.en
dc.description.abstractThis paper describes PSUDOC, a very simple LISP program to carry out some medical diagnosis tasks. The program's domain is a subset of clinical medicine characterized by patients presenting with edema and/or hematuria. The program's goal is to go from the presenting symptoms to a hypothesis of the underlying disease state. The program uses a variation of simple tree searching strategies called ETS.en
dc.description.sponsorshipMIT Artificial Intelligence Laboratory Department of Defense Advanced Research Projects Agencyen
dc.language.isoen_USen
dc.publisherMIT Artificial Intelligence Laboratoryen
dc.relation.ispartofseriesMIT Artificial Intelligence Laboratory Working Papers, WP-137;
dc.titlePSUDOC - A Simple Diagnostic Programen
dc.typeWorking Paperen


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