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Journal of Biomedical Informatics (JBI)

Publisher :

Elsevier Inc.

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Peer reviewed only
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Open Access
  • biomedical informatics
e-ISSN :

1532-0480

Issue Frequency :

Bi-Monthly

p-ISSN :

1532-0464

Est. Year :

1967

Mobile :

13144478000

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

ted@shortliffe.net

Journal Descriptions

The Journal of Biomedical Informatics (JBI) is the premier methodology journal in the field of biomedical informatics. JBI publishes research on new methodologies and techniques that have general applicability and form the basis for the evolving science of biomedical informatics. Papers should focus on a real-world biomedical or clinical problem, develop a novel approach to address the problem, and evaluate its appropriateness in comparison to the current state-of-the-art (SoA) methods. Involvement of healthcare professionals in motivating the work and evaluation of results is expected. JBI seeks to publish papers that make a conceptual contribution to the field, typically by describing an innovation in methodology or technique or by discussing substantive generalizable lessons that have been learned in the context of an informatics project. When a methodological contribution has a theoretical basis, that theory is an appropriate emphasis for papers as well. Research papers may also present a novel "method of methods" explaining how to apply the existing methods to a space of biomedical problems that share unique characteristics influencing the choice of methods.


Journal of Biomedical Informatics (JBI) is :

International, Peer-Reviewed, Open Access, Refereed, biomedical informatics , Online or Print, Bi-Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1532-0464, E-ISSN - 1532-0480, Established in - 1967, Impact Factor

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Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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Science Direct

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Publications of JBI

  • dott image May, 2023

Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke

Stroke is the second largest cause of mortality in the world. Genome-wide association studies (GWAS) have identified some genetic variants associated with stroke risk, but their putative fun...

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