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Erschienen in:
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2017 | OriginalPaper | Buchkapitel

A Semantically-Enabled System for Inflammatory Bowel Diseases

verfasst von : Lei Xu, Zhisheng Huang, Hao Fan, Siwei Yu

Erschienen in: Health Information Science

Verlag: Springer International Publishing

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Abstract

The incidence rate of Inflammatory Bowel Disease (IBD) in China is increasing in recent years and the cause of this disease is still not clear. In order to promote the development of this study, in this paper, we propose a Semantically-enabled System for Inflammatory Bowel Diseases (SeSIBD). It provides functions of semantic retrieval over patient data, statistical analysis and literature retrieval based on patient characteristics. SeSIBID is built on the top of LarKC, a semantic platform for scalable semantic data processing and reasoning. Although the current implementation of SeSIBID is a prototype system, it will provide an infrastructure for clinical decision making support for deep excavation and knowledge discovery on various of medical resources of IBD in the future.

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Vorheriges Kapitel Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases
Nächstes Kapitel Early Classification of Multivariate Time Series Based on Piecewise Aggregate Approximation
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Metadaten
Titel
A Semantically-Enabled System for Inflammatory Bowel Diseases
verfasst von
Lei Xu
Zhisheng Huang
Hao Fan
Siwei Yu
Copyright-Jahr
2017
Buch
Health Information Science

Print ISBN: 978-3-319-69181-7

Electronic ISBN: 978-3-319-69182-4

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-69182-4_8