Accession Number : ADA289450

Title :   Diagnostics Rules Generator. Phase 1. Final Report.

Descriptive Note : Final rept. 3 Sep 87-3 Mar 88,

Corporate Author : GTE GOVERNMENT SYSTEMS CORP CHANTILLY VA FEDERAL SYSTEMS DIV

Personal Author(s) : Saunders, P. R.

PDF Url : ADA289450

Report Date : 03 MAR 1988

Pagination or Media Count : 63

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.

Descriptors :   *DIAGNOSIS(MEDICINE), *THALLIUM, AUTOMATION, REPORTS, LEARNING MACHINES, X RAYS, MEDICINE, DIAGNOSIS(GENERAL), ARTIFICIAL INTELLIGENCE, TELEMETERING DATA, GENERATORS, INFECTIOUS DISEASES, PHYSICIANS, LEARNING, AEROSPACE MEDICINE, CANCER, SCINTILLATION, ELECTROCARDIOGRAPHY, MYOCARDIUM, PHOTOGRAPHIC IMAGES, CORONARY DISEASE, VECTORCARDIOGRAPHY, ECHOCARDIOGRAPHY, ELECTROGASTROGRAMS.

Subject Categories : Medicine and Medical Research
      Biochemistry
      Metallurgy and Metallography

Distribution Statement : APPROVED FOR PUBLIC RELEASE