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.

Report Date:

1988-03-03

Pagination or Media Count:

63.0

Abstract:

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.

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