The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours

Bo Hu; Madalina Croitoru; Roman Roset; David Dupplaw; Miguel Lurgi; Srinandan Dasmahapatra; Paul Lewis; Juan Martínez-Miranda; Carlos Sáez; Bo Hu; Madalina Croitoru; Roman Roset; David Dupplaw; Miguel Lurgi; Srinandan Dasmahapatra; Paul Lewis; Juan Martínez-Miranda; Carlos Sáez

doi:10.1017/S0269888911000130

Abstract: In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of the information involved in the system and has been enriched by clinicians’ requirements and data access restrictions. We present in detail the steps we have taken towards building our ontology starting from knowledge acquisition to data access and reasoning. We motivate our representational choices and show our results using domain examples used by clinical partners in HA.

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The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours

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Corresponding authors: Bo Hu ; Madalina Croitoru ; Roman Roset ; David Dupplaw ; Miguel Lurgi ; Srinandan Dasmahapatra ; Paul Lewis ; Juan Martínez-Miranda ; Carlos Sáez

Published online: 28 July 2011

Abstract: Abstract: In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the distributed nature of the information involved in the system and has been enriched by clinicians’ requirements and data access restrictions. We present in detail the steps we have taken towards building our ontology starting from knowledge acquisition to data access and reasoning. We motivate our representational choices and show our results using domain examples used by clinical partners in HA.

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Acknowledgments

The knowledge representation problems addressed by this paper have streamed from the domain experts’ requirements. Without this knowledge acquisition step the Hadom ontology would have never successfully developed. Our acknowledgements go to domain experts across the HA project: Margarida Julia-Sapé, Andrew Peet, Francesc Estanyol, Liang Xiao, Yu Sun, Kal Natarajan, and Javier Vicente Robledo. This paper only reflects the authors’ views. The European Community is not liable for any use that may be made of the information contained herein. This research is carried out within the EU FP6 Project HA: Agent-Based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis (IST-2004-027214).

http://azizu.uab.es/INTERPRET/index.html

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http://cmap.ihmc.us/conceptmap.html

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http://www.nlm.nih.gov/mesh/meshhome.html

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http://www.etumour.net/

Available from UK West Midlands Brain Tumour Registration.

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http://www.nema.org/

http://jena.sourceforge.net/ARQ/

http://www.ncbi.nlm.nih.gov/pubmed/

http://emedicine.medscape.com/

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Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, Srinandan Dasmahapatra, Paul Lewis, Juan Martínez-Miranda, Carlos Sáez. 2011. The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. The Knowledge Engineering Review. 26: doi: 10.1017/S0269888911000130

Bo Hu, Madalina Croitoru, Roman Roset, David Dupplaw, Miguel Lurgi, Srinandan Dasmahapatra, Paul Lewis, Juan Martínez-Miranda, Carlos Sáez. 2011. The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours. The Knowledge Engineering Review. 26: doi: 10.1017/S0269888911000130

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The HealthAgents ontology: knowledge representation in a distributed decision support system for brain tumours

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