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CFP for Special issue: Intelligence Computing for Challenging Clinical Data

This Special Issue aims to invite original research papers that tackle challenging clinical data and scenarios, including theoretical research, practical models improvement, clinical-oriented data analysis, deployed digital system, and farsighted intelligent architecture. Submitted papers should clarify the substantively different from work that has already been published, or accepted for publication, or submitted in parallel to other conferences or journals.

Submission Deadline: December 20th, 2020

Guest Editors: Honghao Gao (Shanghai University), Wenbing Zhao (Cleveland State University), and Yuyu Yin (Hangzhou Dianzi University)

COVID-19 and impact on peer review

As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times.  Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.

Featured Article: Representing vaccine misinformation using ontologies

Scepticism of vaccines driven by misinformation has important public health implications. In this paper, the authors use semantic web and ontological techniques to represent the domain scope of vaccine misinformation. In developing the Vaccine Misinformation Ontology (VAXMO) the authors provide a framework to catalogue and analyse vaccine misinformation, with potential application in the automated detection of vaccine misinformation and to more comprehensively understand features of the anti-vaccination information domain.



Dietrich Rebholz-Schuhmann, University of Cologne, Germany

Aims and scope

Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas:

Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability.

Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.

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