Diagnostics Rules Generator. Phase 1. Final Report.

Abstract : This report investigates the feasibility of the automated learning of physician's 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.