Journal of Healthcare Engineering

Semantics-Powered Healthcare Engineering and Data Analytics


Status
Published

Lead Editor

1Florida State University, Tallahassee, USA

2University of Texas Health Center at Houston, Houston, USA

3University of Florida, Gainesville, USA

4Maastricht University, Maastricht, Netherlands


Semantics-Powered Healthcare Engineering and Data Analytics

Description

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

Articles

  • Special Issue
  • - Volume 2017
  • - Article ID 7983473
  • - Editorial

Semantics-Powered Healthcare Engineering and Data Analytics

Zhe He | Cui Tao | ... | William R. Hogan
  • Special Issue
  • - Volume 2017
  • - Article ID 3495723
  • - Research Article

Taxonomy-Based Approaches to Quality Assurance of Ontologies

Michael Halper | Yehoshua Perl | ... | Ling Zheng
  • Special Issue
  • - Volume 2017
  • - Article ID 3818302
  • - Research Article

Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context

Jung-wei Fan | Jianrong Li | Yves A. Lussier
  • Special Issue
  • - Volume 2017
  • - Article ID 4271273
  • - Research Article

Graph-Based Semantic Web Service Composition for Healthcare Data Integration

Ngamnij Arch-int | Somjit Arch-int | ... | Paweena Wanchai
  • Special Issue
  • - Volume 2017
  • - Article ID 6493016
  • - Research Article

Association Patterns of Ontological Features Signify Electronic Health Records in Liver Cancer

Lawrence W. C. Chan | S. C. Cesar Wong | ... | Keith W. H. Chiu
  • Special Issue
  • - Volume 2017
  • - Article ID 2460174
  • - Research Article

An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums

Jun Gao | Ninghao Liu | ... | Xia Hu
  • Special Issue
  • - Volume 2017
  • - Article ID 4898963
  • - Research Article

A Novel Approach towards Medical Entity Recognition in Chinese Clinical Text

Jun Liang | Xuemei Xian | ... | Jianbo Lei
  • Special Issue
  • - Volume 2017
  • - Article ID 2190679
  • - Research Article

A SOA-Based Platform to Support Clinical Data Sharing

R. Gazzarata | B. Giannini | M. Giacomini
  • Special Issue
  • - Volume 2017
  • - Article ID 9519321
  • - Research Article

A Granular Ontology Model for Maternal and Child Health Information System

Saadia Ismail | Majed Alshmari | ... | Hafiz Farooq Ahmad
Journal of Healthcare Engineering
 Journal metrics
Acceptance rate37%
Submission to final decision99 days
Acceptance to publication48 days
CiteScore2.600
Impact Factor1.803
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.