An ingenuous Decision Support System (iDSS) approach for remote area pregnant women

Gogineni, Jyothsna , Mittinty, Murthy , & Yarlagadda, Prasad K. (2012) An ingenuous Decision Support System (iDSS) approach for remote area pregnant women. In 11th Global Congress of Manufacturing and Management (GCMM 2012), 28-30 November 2012, AUT University, Auckland.

View at publisher


This paper addresses development of an ingenious decision support system (iDSS) based on the methodology of survey instruments and identification of significant variables to be used in iDSS using statistical analysis. A survey was undertaken with pregnant women and factorial experimental design was chosen to acquire sample size. Variables with good reliability in any one of the statistical techniques such as Chi-square, Cronbach’s α and Classification Tree were incorporated in the iDSS. The ingenious decision support system was implemented with Visual Basic as front end and Microsoft SQL server management as backend. Outcome of the ingenious decision support system include advice on Symptoms, Diet and Exercise to pregnant women.

Impact and interest:

Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

65 since deposited on 12 Dec 2012
3 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 55584
Item Type: Conference Paper
Refereed: Yes
Keywords: Maternal Mortality Rate, Pregnant women, Ingenious decision support system
Subjects: Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > OTHER MATHEMATICAL SCIENCES (019900) > Mathematical Sciences not elsewhere classified (019999)
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2012 [please consult the author]
Deposited On: 12 Dec 2012 23:12
Last Modified: 04 Apr 2013 12:58

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page