Learning a Lightweight Ontology for Semantic Retrieval in Patient-Centered Information Systems

Learning a Lightweight Ontology for Semantic Retrieval in Patient-Centered Information Systems

Ulrich Reimer (University of Applied Sciences St. Gallen, Switzerland), Edith Maier (University of Applied Sciences St. Gallen, Switzerland), Stephan Streit (University of Applied Sciences St. Gallen, Switzerland), Thomas Diggelmann (ai-one, Switzerland) and Manfred Hoffleisch (ai-one, Switzerland)
Copyright: © 2011 |Pages: 16
DOI: 10.4018/jkm.2011070102
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

The paper introduces a web-based eHealth platform currently being developed that will assist patients with certain chronic diseases. The ultimate aim is behavioral change. This is supported by online assessment and feedback which visualizes actual behavior in relation to target behavior. Disease-specific information is provided through an information portal that utilizes lightweight ontologies (associative networks) in combination with text mining. The paper argues that classical word-based information retrieval is often not sufficient for providing patients with relevant information, but that their information needs are better addressed by concept-based retrieval. The focus of the paper is on the semantic retrieval component and the learning of a lightweight ontology from text documents, which is achieved by using a biologically inspired neural network. The paper concludes with preliminary results of the evaluation of the proposed approach in comparison with traditional approaches.
Article Preview

Semper: A Support System For Patient Self-Care

The SEMPER (Project SEMPER, 2009) project develops an interactive, web-based platform that provides patients with ongoing assistance and encouragement for dealing with problems such as alcohol dependency and work-related disorders, especially those related to office work (e.g. stress, eye strain, repetitive strain injury). This will be realized through online assessment, disease-specific information, personalized monitoring and feedback as well as social and emotional support via virtual communities. The inclusion of new fields of application and/or target groups will be possible due to the open architecture of the platform.

The online components are not meant to replace consulting a doctor or other health professionals. Rather, we want to use the advantages of interactive technologies to lessen the burden of health professionals and complement face-to-face treatment. Figure 1 illustrates the main components of the SEMPER platform:

Figure 1.

System architecture of SEMPER

Complete Article List

Search this Journal:
Reset
Open Access Articles
Volume 13: 4 Issues (2017): 3 Released, 1 Forthcoming
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing