Artificial Intelligence Approaches to Medical Diagnosis
Name
AI_WP_065.pdf
Description
Main article
Size
483.43 KB
Format
Adobe PDF
Checksum (MD5)
d1831f92a1106a7288d680f2353f17a7
Author(s)
Rubin, Andee
Date Issued
March 1974
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-65
Abstract
The differential diagnosis of hematuria, blood in the urine, is studied from the point of view of identifying crucial structures and processes in medical diagnosis. The thesis attempts to fit the problem of medical diagnosis into the framework of other A.I. problems and paradigms and in particular explores the notions of pure search vs. heuristic methods, linearity and interaction, plausibility and the structure of hypotheses within the world of kidney disease.
Description
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005.
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