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SPDA 2017 : Special Issue : Semantics-Powered Healthcare Engineering and Data Analytics

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Link: https://www.hindawi.com/journals/jhe/si/461480/cfp/
 
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Submission Deadline Jan 20, 2017
Notification Due Apr 14, 2017
 

Call For Papers

Semantics-Powered Healthcare Engineering and Data Analytics
Call for Papers

Health information systems (HIS) play a crucial role in healthcare in the 21st Century. Biomedical ontologies and controlled vocabularies provide structured domain knowledge to a variety of health information systems to support interoperability, electronic health records, healthcare administration, and clinical decision support. The rich thesaurus with concepts linked by semantic relationships has been widely used in natural language processing, data mining, machine learning, semantic annotation, and automated reasoning. The dramatically increasing amount of healthcare data poses unprecedented opportunities for mining previously unknown knowledge with semantics-powered data analytics methods. However, due to the complexity of heterogeneous health information systems and the lack of interoperability among them, it is a challenging problem to exploit multiple data sources to solve real world problems such as predicting disease progression, designing personalized treatment plan, and identifying patient cohort for clinical trials.

This special issue aims to bring people in the field of knowledge representation, knowledge management, and health data analytics to introduce innovative semantics-based methods to address important problems in healthcare engineering with biomedical, clinical, behavioral, and social web data. We invite authors to contribute original research articles as well as review articles that will illustrate the use of biomedical ontologies and semantic web technologies to facilitate healthcare engineering and discover hidden knowledge in biomedical and health data.

Potential topics include but are not limited to the following:

Semantics-based healthcare data analytics
Ontology-based healthcare data mining
Ontology-based analysis on biomedical, clinical, or social web data
Named entity recognition and relation extraction on biomedical, clinical, or social web data
Data mining or machine learning on biomedical, clinical, or social web data
Semantic annotation on biomedical, clinical, or social web data
Application of ontologies in healthcare engineering
Applications of ontologies in health information systems
Ontology-driven software framework for healthcare applications
Ontology-based health data interpretation and visualization
Algorithmic phenotyping and cohort identification using ontologies
Health consumers oriented tools for information seeking
Health data integration
Linked open data in healthcare engineering
Novel approaches for data integration of heterogeneous healthcare data sources
Ontologies and controlled terminologies
Ontology development and enrichment for healthcare applications
Quality assurance of biomedical ontologies and terminologies
Semantic harmonization and ontology alignment for health information systems
Knowledge representation and reasoning
Authors can submit their manuscripts through the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jhe/spda/.

Manuscript Due Friday, 20 January 2017
First Round of Reviews Friday, 14 April 2017
Publication Date Friday, 9 June 2017

Lead Guest Editor

Zhe He, Florida State University, Tallahassee, USA

Guest Editors

Cui Tao, University of Texas Health Center at Houston, Houston, USA
Jiang Bian, University of Florida, Gainesville, USA
Michel Dumontier, Stanford University, Stanford, USA
William Hogan, University of Florida, Gainesville, USA

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