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Volume 21 Supplement 7

Selected articles from the Fifth International Workshop on Semantics-Powered Data Mining and Analytics (SEPDA 2020)

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

Virtual16-19 December 2020`

Conference website

Edited by Zhe He, Cui Tao, Jiang Bian, Rui Zhang and Xia Hu.

  1. As biomedical knowledge is rapidly evolving, concept enrichment of biomedical terminologies is an active research area involving automatic identification of missing or new concepts. Previously, we prototyped a...

    Authors: Fengbo Zheng, Rashmie Abeysinghe and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):234
    Content type: Research Published on:

  2. There are significant variabilities in guideline-concordant documentation in asthma care. However, assessing clinician’s documentation is not feasible using only structured data but requires labor-intensive ch...

    Authors: Bhavani Singh Agnikula Kshatriya, Elham Sagheb, Chung-Il Wi, Jungwon Yoon, Hee Yun Seol, Young Juhn and Sunghwan Sohn
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):272
    Content type: Research Published on:

  3. Fast food with its abundance and availability to consumers may have health consequences due to the high calorie intake which is a major contributor to life threatening diseases. Providing nutritional informati...

    Authors: Muhammad Amith, Chidinma Onye, Tracey Ledoux, Grace Xiong and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):275
    Content type: Research Published on:

  4. Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel...

    Authors: Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen and Buzhou Tang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):368
    Content type: Research Published on:
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Annual Journal Metrics

  • 2022 Citation Impact
    3.5 - 2-year Impact Factor
    3.9 - 5-year Impact Factor
    1.384 - SNIP (Source Normalized Impact per Paper)
    0.940 - SJR (SCImago Journal Rank)

    2023 Speed
    37 days submission to first editorial decision for all manuscripts (Median)
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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