Conference Proceeding

Ontology-Driven Adaptive Medical Information Collection System

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Citation

Bouamrane M, Rector A & Hurrell M (2008) Ontology-Driven Adaptive Medical Information Collection System. In: An A, Matwin S, Ras ZW & Slezak D (eds.) Foundations of Intelligent Systems (ISMIS 2008). Lecture Notes in Computer Science (LNCS), 4994. International Symposium on Methodologies for Intelligent Systems, Toronto, 20.05.2008-23.05.2008. Berlin: Springer Berlin Heidelberg, pp. 574-584. https://doi.org/10.1007/978-3-540-68123-6_62

Abstract
Computer-based surveys and questionnaires have become ubiquitous. Yet in many cases, Information Collection Systems (ICS) offer limited support in terms of tailoring structure and content of surveys in response to user interaction. Previous techniques for content adaptation such as conditional branching do not scale well and are also hard to maintain as structural dependencies in a survey often need to be hard-coded in the system. We here propose a generic model for context-sensitive self adaptation of ICS, based on a questionnaire ontology. We illustrate the model with a description of our own medical ICS implementation and discuss the potential benefits of such system, especially in the context of tailored healthcare.

Keywords
Context-sensitive Adaptation; Health Information Collection systems; Questionnaire Ontologies

StatusPublished
FundersTechnology Strategy Board
Title of seriesLecture Notes in Computer Science (LNCS)
Number in series4994
Publication date23/05/2008
Publication date online23/05/2008
PublisherSpringer Berlin Heidelberg
Place of publicationBerlin
ISSN of series1611-3349
ISBN9783540681229
eISBN9783540681236
ConferenceInternational Symposium on Methodologies for Intelligent Systems
Conference locationToronto
Dates

People (1)

Professor Matt-Mouley Bouamrane

Professor Matt-Mouley Bouamrane

Professor in Health/Social Informatics, Computing Science

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