A pattern-based knowledge editing system for building clinical Decision Support Systems

Minutolo, Aniello; Esposito, Massimo; Pietro, Giuseppe De

doi:10.1016/j.knosys.2012.04.024

Cited by 23 publications

(14 citation statements)

References 29 publications

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“…Customised remote systems that monitor and assist users are usually called Personalised Guidance Systems (PGS) or Personalised Support Systems (PSS). Often, such systems are internet-, mobile-, or game-based (Honka, Kaipainen, Hietawitzla, & Saranummi, 2011;Kato, 2010;Krebs, Prochaska, & Rossi, 2010;Krishna, Boren, & Balas, 2009;Kumar et al, 2013;Minutolo, Esposito, & De Pietro, 2012;Pawar, Jones, Van Beijnum, & Hermens, 2012;Riley et al, 2011). PGS have been proposed for disease management (Fjeldsoe, Marshall, & Miller, 2009;Gibbons et al, 2011), psychotherapeutic use (Andrews, Cuijpers, Craske, McEvoy, & Titov, 2013;Barak, Hen, Boniel-Nissim, & Shapira, 2008;Mitchell, Vella-Brodrick, & Klein, 2010), and health behaviour change (Cugelman, Thelwall, & Dawes, 2011;Webb, Joseph, Yardley, & Michie, 2010).…”

Section: Personalised Guidancementioning

confidence: 99%

A smart mirror to promote a healthy lifestyle

Colantonio

Coppini

Germanese

et al. 2015

Biosystems Engineering

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Section: Personalised Guidancementioning

confidence: 99%

A smart mirror to promote a healthy lifestyle

Colantonio

Coppini

Germanese

et al. 2015

Biosystems Engineering

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“…The selected subset can be profitable used for modelling diagnostic and therapeutic clinical guidelines distilled in terms of a set of condition-action clinical rules (Peleg et al, 2003;Minutolo et al, 2012). It has a line-based and plain text format suitable for being efficiently parsed on resourcelimited settings, especially in scenarios where frequent reasoning is applied and rules have to be reloaded frequently.…”

Section: The System Architecturementioning

confidence: 99%

Design and validation of a light-weight reasoning system to support remote health monitoring applications

Minutolo

Esposito

Pietro

2015

Engineering Applications of Artificial Intelligence

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“…Available knowledge resources are very diverse in terms of formats, structure, and vocabulary. Since 2005, researchers have been developing SW-based KB-CDSSs to effectively extract knowledge from such heterogeneous environments [ 15 , 17 - 20 ].…”

Section: Introductionmentioning

confidence: 99%

Issues Associated With the Use of Semantic Web Technology in Knowledge Acquisition for Clinical Decision Support Systems: Systematic Review of the Literature

Zolhavarieh¹,

Parry²,

Bai³

2017

JMIR Med Inform

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BackgroundKnowledge-based clinical decision support system (KB-CDSS) can be used to help practitioners make diagnostic decisions. KB-CDSS may use clinical knowledge obtained from a wide variety of sources to make decisions. However, knowledge acquisition is one of the well-known bottlenecks in KB-CDSSs, partly because of the enormous growth in health-related knowledge available and the difficulty in assessing the quality of this knowledge as well as identifying the “best” knowledge to use. This bottleneck not only means that lower-quality knowledge is being used, but also that KB-CDSSs are difficult to develop for areas where expert knowledge may be limited or unavailable. Recent methods have been developed by utilizing Semantic Web (SW) technologies in order to automatically discover relevant knowledge from knowledge sources.ObjectiveThe two main objectives of this study were to (1) identify and categorize knowledge acquisition issues that have been addressed through using SW technologies and (2) highlight the role of SW for acquiring knowledge used in the KB-CDSS.MethodsWe conducted a systematic review of the recent work related to knowledge acquisition MeM for clinical decision support systems published in scientific journals. In this regard, we used the keyword search technique to extract relevant papers.ResultsThe retrieved papers were categorized based on two main issues: (1) format and data heterogeneity and (2) lack of semantic analysis. Most existing approaches will be discussed under these categories. A total of 27 papers were reviewed in this study.ConclusionsThe potential for using SW technology in KB-CDSS has only been considered to a minor extent so far despite its promise. This review identifies some questions and issues regarding use of SW technology for extracting relevant knowledge for a KB-CDSS.

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A pattern-based knowledge editing system for building clinical Decision Support Systems

Cited by 23 publications

References 29 publications

A smart mirror to promote a healthy lifestyle

A smart mirror to promote a healthy lifestyle

Design and validation of a light-weight reasoning system to support remote health monitoring applications

Issues Associated With the Use of Semantic Web Technology in Knowledge Acquisition for Clinical Decision Support Systems: Systematic Review of the Literature

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