EXPERT SYSTEMS FOR NURSES' PRETERM LABOR RISK ASSESSMENT

Award Information
Agency:
Department of Health and Human Services
Branch
n/a
Amount:
$49,351.00
Award Year:
1992
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
19389
Agency Tracking Number:
19389
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
6040 Wornall Road, Kanssas City, MO, 64113
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Michele M Van Dyne
(816) 444-8063
Business Contact:
() -
Research Institution:
n/a
Abstract
APPROXIMATELY 8-10% OF ALL BABIES BORN IN THE U.S.A. EACH YEAR DELIVER BEFORE 37 WEEKS GESTATION. CURRENT HIGH RISK SCORING TOOLS WHICH ATTEMPT TO IDENTIFY PREGNANT WOMEN AT RISK FOR PRETERM LABOR HAVE PROBLEMS WITH RELIABILITY AND VALIDITY, AND REPORTED STUDIES USING THESE TOOLS ACHIEVE ONLY 18-44% ACCCURACY IN PREDICTING PRETERM LABOR. THIS RESEARCH AIMS TO UTILIZE KNOWLEDGE ACQUISITION AND EXPERT SYSTEM TECHNOLOGY TO DEVELOP A COMPUTERIZED TOOL WHICH WILL ASSIST NURSES WITH PRETERM LABOR RISK ASSESSMENT. A MACHINE LEARNING ALGORITHM WILL BE USED TO EXTRACT PRODUCTION RULES FROM PERINATAL DATABASES. EXPERT CONSULTANTS WILL EVALUATE AND ENHANCE THE RULES IN THE PROTOTYPE EXPERT SYSTEM, WHICH MUST ACHIEVE 50% ACCURACY RATE TO BE AN IMPROVEMENT OVER EXISTING TOOLS. ENHANCEMENTS SHOULD CONTINUE TO IMPROVE THE EXPERT SYSTEM"S ACCURACY. THE LONG-TERM GOAL OF THE EXPERT SYSTEM IS TO DECREASE THE INCIDENCE OF PRETERM LABOR BY PROVIDING HEALTHCARE PROVIDERS WITH TOOLS THAT IMPROVE DETECTION, AND THEREFORE APPROPRIATE INTERVENTION, FOR WOMEN AT RISK FOR PRETERM LABOR.

* information listed above is at the time of submission.

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