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Expert Systems in Medical Studies A New Twist

IP.com Disclosure Number: IPCOM000128578D
Original Publication Date: 1986-Dec-31
Included in the Prior Art Database: 2005-Sep-16
Document File: 7 page(s) / 29K

Publishing Venue

Software Patent Institute

Related People

J. R. Slagle: AUTHOR [+7]

Abstract

The use of experts to evaluate large amounts of trial data results in increas-ingly expensive and time consuming research. We are investigating the role ex-pert systems can play in reducing the time and expense of research projects. Current methods in large clinical studies for evaluating data are often crude and superficial. We have developed, for a large clinical trial, an expert system for analysis of treadmill exercise ECG test results. In the cases we are studying, a patient is given a treadmill exercise ECG test once a year for five years. Pairs of these exercise tests are then evaluate' by cardiologists to determine the condition of the patient's heart. The results of our system show great promise for the use of expert systems in reducing the time and expense of large clinical trials.

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THIS DOCUMENT IS AN APPROXIMATE REPRESENTATION OF THE ORIGINAL.

Expert Systems in Medical Studies A New Twist

by

J. R. Slagle J. M. Long M. R. Wick J. P. Matts A. S. Leon

Computer Science Department

136 Lind Hall

Institute of Technology

University of Minnesota

Minneapolis, Minnesota 554~-,

TR 86-3

February 1986 Technical Report Expert Systems !n Medical Studies - A New Twist* by James
R. Slagle John M. Long Michael R. Wick John P. Mutts Arthur S. Leon

University of Minnesota Minneapolis, MN 55455

ABSTRACT

The use of experts to evaluate large amounts of trial data results in increas-ingly expensive and time consuming research. We are investigating the role ex-pert systems can play in reducing the time and expense of research projects. Current methods in large clinical studies for evaluating data are often crude and superficial. We have developed, for a large clinical trial, an expert system for analysis of treadmill exercise ECG test results. In the cases we are studying, a patient is given a treadmill exercise ECG test once a year for five years. Pairs of these exercise tests are then evaluate' by cardiologists to determine the condition of the patient's heart. The results of our system show great promise for the use of expert systems in reducing the time and expense of large clinical trials.

KEYWORDS: Expert Systems, Cardiology, Rule-based Systems.

ABBREV. TITLE: The Eta Project.

*Thls material is based partly on work supported by the National Science Foun-dation grant # DCR8512857, by NHI.BI grant # 2810 HL15285, and by the Ml- . croelectronic and Information Sciences Center of the University of Minnesota.

1.O INTRODUCTION

As expert systems become increasingly popular, more and more applications are emerging. Most of these applications create an expert system as the end pro-duct. We are investigating

University of Minnesota Page 1 Dec 31, 1986

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Expert Systems in Medical Studies A New Twist

the application of an expert system as a research as-sistant, and not an end product. Much of the current research In fields such as medicine and psychology relies on expert evaluation of large amounts of longitu-dinal data. This results In increasingly expensive and time consuming research. We have shown, through a case study, that expert systems can play a key role !n reducing the time and expense of such research projects. The cases we are study-ing come from the Program on the Surgical Control of the Hyperlipidemias (POSCH) [i] which is a long term randomized clinical trial with 838 post-myocardial infarction patients designed to test the effect of reduced cholesterol in patients who have had one heart attack. In this study, a patient is given a tread-mill electrocardiogram (ECG) exercise test at entry, each of five subsequent years, and at either seven or ten years into the study. .tin ECG exercise test results in a graphic tracing of the variations 1n electrical potential caused by the excitation of the heart muscle and detect...