| dc.date.accessioned | 2008-08-26T14:07:19Z | |
| dc.date.accessioned | 2018-11-26T22:25:33Z | |
| dc.date.available | 2008-08-26T14:07:19Z | |
| dc.date.available | 2018-11-26T22:25:33Z | |
| dc.date.issued | 1976-12 | |
| dc.identifier.uri | http://hdl.handle.net/1721.1/41963 | |
| dc.identifier.uri | http://repository.aust.edu.ng/xmlui/handle/1721.1/41963 | |
| dc.description | This 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.abstract | This 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.language.iso | en_US | en |
| dc.publisher | MIT Artificial Intelligence Laboratory | en |
| dc.title | PSUDOC - A Simple Diagnostic Program | en |
| dc.type | Working Paper | en |
