↓ Skip to main content

Translational Biomedical Informatics

Overview of attention for book
Attention for Chapter 11: XML, Ontologies, and Their Clinical Applications.
Altmetric Badge

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
15 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
XML, Ontologies, and Their Clinical Applications.
Chapter number 11
Book title
Translational Biomedical Informatics
Published in
Advances in experimental medicine and biology, November 2016
DOI 10.1007/978-981-10-1503-8_11
Pubmed ID
Book ISBNs
978-9-81-101502-1, 978-9-81-101503-8
Authors

Chunjiang Yu, Bairong Shen

Editors

Bairong Shen, Haixu Tang, Xiaoqian Jiang

Abstract

The development of information technology has resulted in its penetration into every area of clinical research. Various clinical systems have been developed, which produce increasing volumes of clinical data. However, saving, exchanging, querying, and exploiting these data are challenging issues. The development of Extensible Markup Language (XML) has allowed the generation of flexible information formats to facilitate the electronic sharing of structured data via networks, and it has been used widely for clinical data processing. In particular, XML is very useful in the fields of data standardization, data exchange, and data integration. Moreover, ontologies have been attracting increased attention in various clinical fields in recent years. An ontology is the basic level of a knowledge representation scheme, and various ontology repositories have been developed, such as Gene Ontology and BioPortal. The creation of these standardized repositories greatly facilitates clinical research in related fields. In this chapter, we discuss the basic concepts of XML and ontologies, as well as their clinical applications.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Student > Master 2 13%
Professor > Associate Professor 2 13%
Professor 1 7%
Researcher 1 7%
Other 1 7%
Unknown 4 27%
Readers by discipline Count As %
Computer Science 5 33%
Nursing and Health Professions 1 7%
Engineering 1 7%
Unknown 8 53%