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Diagnostics Rules Generator. Phase 1. Final Report.
Final rept. 3 Sep 87-3 Mar 88,
GTE GOVERNMENT SYSTEMS CORP CHANTILLY VA FEDERAL SYSTEMS DIV
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This report investigates the feasibility of the automated learning of physicians diagnostic criteria for medical telemetry data from a set of examples. Using thallium myocardial scintigraphy as an illustrative domain, an architecture is established for a Diagnostic Rules Generator, and the required machine learning capability is prototyped and evaluated.
APPROVED FOR PUBLIC RELEASE