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Volume 18 Supplement 5

Proceedings from the 2018 Sino-US Conference on Health Informatics

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.

Guangzhou, China28 June - 01 July 2018

Edited by Yang Gong, Hua Xu and Yi Zhou.

Conference website

  1. Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Current...

    Authors: Sicheng Zhou, Hong Kang, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):113
  2. Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems r...

    Authors: Hong Kang, Sicheng Zhou, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):110
  3. Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and ...

    Authors: Mi-Mi Liu, Li Wen, Yong-Jia Liu, Qiao Cai, Li-Ting Li and Yong-Ming Cai
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):121
  4. Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accur...

    Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao and Wenyin Liu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):114
  5. Colorectal Cancer (CRC) is the third leading cause of cancer death among men and women in the United States. Research has shown that the risk of CRC associates with genetic and lifestyle factors. It is possibl...

    Authors: Jiannan Liu, Chenyang Li, Jing Xu and Huanmei Wu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):118
  6. The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117
  7. Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features...

    Authors: Xiaoyan Wei, Lin Zhou, Ziyi Chen, Liangjun Zhang and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):111
  8. Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data...

    Authors: Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu and Guoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):116
  9. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115
  10. The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Mol...

    Authors: Ruoyao Ding, Yingying Qu, Cathy H. Wu and K. Vijay-Shanker
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):119
  11. Health professionals and consumers use different terms to express medical events or concerns, which makes the communication barriers between the professionals and consumers. This may lead to bias in the diagno...

    Authors: Li Hou, Hongyu Kang, Yan Liu, Luqi Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):120
  12. To realize semantic interoperability for Primary Health Information System (PHIS), this study analyzes and applies existing health information data standards in China. This research aims to establish a Primary...

    Authors: Xia Zhao, Xiaohua Li, Wei Yang, Qianjin Feng, Yi Zhou and Qiong Wang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):112

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:144

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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