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Volume 18 Supplement 1

Proceedings from the 3rd China Health Information Processing Conference (CHIP 2017)

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.

Shenzhen, China24-25 November 2017

Edited by Buzhou Tang, Qingcai Chen, Tianyong Hao and Zhe He

Conference website

  1. Natural language processing (NLP) has become an increasingly significant role in advancing medicine. Rich research achievements of NLP methods and applications for medical information processing are available....

    Authors: Xieling Chen, Haoran Xie, Fu Lee Wang, Ziqing Liu, Juan Xu and Tianyong Hao
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):14
    Content type: Research Published on:

  2. Temporal expression extraction and normalization is a fundamental and essential step in clinical text processing and analyzing. Though a variety of commonly used NLP tools are available for medical temporal in...

    Authors: Tianyong Hao, Xiaoyi Pan, Zhiying Gu, Yingying Qu and Heng Weng
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):22
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:25

  3. Identifying targets of herbs is a primary step for investigating pharmacological mechanisms of herbal drugs in Traditional Chinese medicine (TCM). Experimental targets identification of herbs is a difficult an...

    Authors: Kuo Yang, Guangming Liu, Ning Wang, Runshun Zhang, Jian Yu, Jianxin Chen and Xuezhong Zhou
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):17
    Content type: Research Published on:

  5. Clinical data registry is designed to collect and manage information about the practices and outcomes of a patient population for improving the quality and safety of care and facilitating novel researches. Sem...

    Authors: Lingtong Min, Qi Tian, Xudong Lu, Jiye An and Huilong Duan
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):15
    Content type: Research Published on:

  6. Acute kidney injury (AKI), characterized by abrupt deterioration of renal function, is a common clinical event among hospitalized patients and it is associated with high morbidity and mortality. AKI is defined...

    Authors: Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman and Mei Liu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):13
    Content type: Research Published on:

  7. De-identification is the first step to use these records for data processing or further medical investigations in electronic medical records. Consequently, a reliable automated de-identification system would b...

    Authors: Yue-Shu Zhao, Kun-Li Zhang, Hong-Chao Ma and Kun Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 1):18
    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)
    213 days submission to accept (Median)

    2023 Usage 
    2,588,758 downloads
    2,443 Altmetric mentions 

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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