Handling Uncertainty in a Medical Study of Dietary Intake during Pregnancy

AH Marshall, DA Bell, R Sterritt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper is concerned with handling uncertainty as part of the analysis of data from a medical study. The study is investigating connections between the birth weight of babies and the dietary intake of their mothers. Bayesian belief networks were used in the analysis. Their perceived benefits include (i) an ability to represent the evidence emerging from the evolving study, dealing effectively with the inherent uncertainty involved; (ii) providing a way of representing evidence graphically to facilitate analysis and communication with clinicians; (iii) helping in the exploration of the data to reveal undiscovered knowledge; and (iv) providing a means of developing an expert system application.
Original languageEnglish
Title of host publicationUnknown Host Publication
Place of PublicationBerlin
PublisherSpringer
Pages206-216
Number of pages11
ISBN (Print)3-540-43481-X
DOIs
Publication statusPublished - Apr 2002
EventSoft-ware 2002: Computing in an Imperfect World - Belfast, Northern Ireland
Duration: 1 Apr 2002 → …

Conference

ConferenceSoft-ware 2002: Computing in an Imperfect World
Period1/04/02 → …

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Marshall, AH., Bell, DA., & Sterritt, R. (2002). Handling Uncertainty in a Medical Study of Dietary Intake during Pregnancy. In Unknown Host Publication (pp. 206-216). Berlin: Springer. https://doi.org/10.1007/3-540-46019-5_16