Research on Real-world Multidimensional Stroke Ontology and Its Reasoning for Construction of the Evolution Model

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openAccess CC BY-NC

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Journal Title

Journal ISSN

Volume Title

A4 Artikkeli konferenssijulkaisussa

Date

2016

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Mcode

Degree programme

Language

en

Pages

5
177-181

Series

Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications, ICAITA 2016, Advances in Intelligent Systems Research, Volume 127

Abstract

The research planed to gather and standard the real world stroke clinical data from clinica to construct a stroke ontology corpus, through refactoring and sharing of data, established a multi-dimensional stroke ontology. And based on stroke diagnosis and treatment process, it integrated the evolution of reasoning mechanism research into the basic tier of theory, designed and implemented a multidimensional ontology the prototype experiment system which has building, reasoning, learning and evolution mechanism. The research results are expected to provide a shared system of concept of stroke to clinical diagnosis and treatment decisions, provide diagnosis and treatment strategy to optimize and design the stroke diagnosis and treatment plan, enhance the accuracy, objectivity and pertinency of diagnosis and treatment level, so as to provide the support of technical method for translating the application and development of medicine, which help to promote scientific, informatization, modernization of traditional Chinese medicine research.

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Keywords

real world, multidimensional stroke ontology, reasoning, evolution, mentality

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Citation

Gao, L, Li, F, Wang, J, Wang, Z, Luo, L & Gao, X 2016, Research on Real-world Multidimensional Stroke Ontology and Its Reasoning for Construction of the Evolution Model . in A Petrillo, A Nikkhah & EP Edward (eds), Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications, ICAITA 2016 . Advances in Intelligent Systems Research, vol. 127, Atlantis Press, pp. 177-181, International Conference on Artificial Intelligence - Technologies and Applications, Bangkok, Thailand, 24/01/2016 . https://doi.org/10.2991/icaita-16.2016.45