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Volume 21 Supplement 9

Health Natural Language Processing and Applications

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, Guangdong, China30-31 November 2020

Edited by Tianyong Hao, Hongfei Lin, Lei Liu and Qingcai Chen.

  1. Standardized coding of plays an important role in radiology reports’ secondary use such as data analytics, data-driven decision support, and personalized medicine. RadLex, a standard radiological lexicon, can ...

    Authors: Yani Chen, Shan Nan, Qi Tian, Hailing Cai, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):247
    Content type: Research Published on:

  2. Drug repurposing is to find new indications of approved drugs, which is essential for investigating new uses for approved or investigational drug efficiency. The active gene annotation corpus (named AGAC) is a...

    Authors: Dongfang Li, Ying Xiong, Baotian Hu, Buzhou Tang, Weihua Peng and Qingcai Chen
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):251
    Content type: Research Published on:

  3. Clinical notes are unstructured text documents generated by clinicians during patient encounters, generally are annotated with International Classification of Diseases (ICD) codes, which give formatted informa...

    Authors: Shuyuan Hu, Fei Teng, Lufei Huang, Jun Yan and Haibo Zhang
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):256
    Content type: Research Published on:

  4. In recent years, with the development of artificial intelligence, the use of deep learning technology for clinical information extraction has become a new trend. Clinical Event Detection (CED) as its subtask h...

    Authors: Zhichang Zhang, Dan Liu, Minyu Zhang and Xiaohui Qin
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):261
    Content type: Research Published on:

  5. 2019-nCoV has been spreading around the world and becoming a global concern. To prevent further widespread of 2019-nCoV, confirmed and suspected cases of COVID-19 infection are suggested to be kept in quaranti...

    Authors: Huanhuan Wu, Yichen Zhong, Yingjie Tian, Shan Jiang and Lingyun Luo
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):271
    Content type: Methodology Published on:

  6. The historical data of rare disease is very scarce in reality, so how to perform drug repositioning for the rare disease is a great challenge. Most existing methods of drug repositioning for the rare disease u...

    Authors: Hongkui Cao, Liang Zhang, Bo Jin, Shicheng Cheng, Xiaopeng Wei and Chao Che
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):304
    Content type: Research Published on:

  7. We aimed to build a common terminology in the domain of cervical cancer, named Cervical Cancer Common Terminology (CCCT), that will facilitate clinical data exchange, ensure quality of data and support large s...

    Authors: Na Hong, Fengxiang Chang, Zhengjie Ou, Yishang Wang, Yating Yang, Qiang Guo, Jianhui Ma and Dan Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):309
    Content type: Research Published on:

  8. A lot of medical mentions can be extracted from a huge amount of medical texts. In order to make use of these medical mentions, a prerequisite step is to link those medical mentions to a medical domain knowled...

    Authors: Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi and Shengping Liu
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):317
    Content type: Research Published on:

  9. Knowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical knowledge graph completion (MedKGC). MedKGC can find new facts based on...

    Authors: Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu and Jun Zhao
    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 9):335
    Content type: Review Published on:

  10. Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to suppor...

    Authors: Wenyan Tan, Heng Weng, Haicheng Lin, Aihua Ou, Zehui He and Fujun Jia
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):375
    Content type: Research Published on:

  11. Natural language processing (NLP) tasks in the health domain often deal with limited amount of labeled data due to high annotation costs and naturally rare observations. To compensate for the lack of training ...

    Authors: Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei and Yue Wang
    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):377
    Content type: Research Published on:

  12. With the global spread of COVID-19, detecting high-risk countries/regions timely and dynamically is essential; therefore, we sought to develop automatic, quantitative and scalable analysis methods to observe a...

    Authors: Xiang Zhou, Xudong Ma, Sifa Gao, Yingying Ma, Jianwei Gao, Huizhen Jiang, Weiguo Zhu, Na Hong, Yun Long and Longxiang Su
    Citation: BMC Medical Informatics and Decision Making 2023 21(Suppl 9):384
    Content type: Research Published on:
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  • Citation Impact 2023
    Journal Impact Factor: 3.3
    5-year Journal Impact Factor: 3.9
    Source Normalized Impact per Paper (SNIP): 1.304
    SCImago Journal Rank (SJR): 1.002

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    Submission to first editorial decision (median days): 18
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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