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Volume 19 Supplement 4

Selected articles from the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018)

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.

Madrid, Spain03 December 2018

Conference website

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

  1. Content type: Introduction

    In this editorial, we first summarize the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018) held on December 3, 2018 in conjunction with the 2018 IEEE International Conference on Bi...

    Authors: Zhe He, Jiang Bian, Cui Tao and Rui Zhang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):148

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  2. Content type: Research

    Padua linear model is widely used for the risk assessment of venous thromboembolism (VTE), a common but preventable complication for inpatients. However, genetic and environmental differences between Western a...

    Authors: Yuqing Yang, Xin Wang, Yu Huang, Ning Chen, Juhong Shi and Ting Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):151

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  3. Content type: Research

    Dietary supplements (DSs) are widely used. However, consumers know little about the safety and efficacy of DSs. There is a growing interest in accessing health information online; however, health information, ...

    Authors: Xing He, Rui Zhang, Rubina Rizvi, Jake Vasilakes, Xi Yang, Yi Guo, Zhe He, Mattia Prosperi, Jinhai Huo, Jordan Alpert and Jiang Bian

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):150

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  4. Content type: Research

    The aging population has led to an increase in cognitive impairment (CI) resulting in significant costs to patients, their families, and society. A research endeavor on a large cohort to better understand the ...

    Authors: Somaieh Goudarzvand, Jennifer St. Sauver, Michelle M. Mielke, Paul Y. Takahashi, Yugyung Lee and Sunghwan Sohn

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):149

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  5. Content type: Research

    The existing community-wide bodies of biomedical ontologies are known to contain quality and content problems. Past research has revealed various errors related to their semantics and logical structure. Automa...

    Authors: Muhammad Amith, Frank Manion, Chen Liang, Marcelline Harris, Dennis Wang, Yongqun He and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):152

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  6. Content type: Research

    Hepatitis C affects about 3 % of the world’s population. In the United States, about 3.5 million have chronic hepatitis C, and it is the leading cause of liver cancer and the most common indication for liver t...

    Authors: Jing Huang, Xinyuan Zhang, Jiayi Tong, Jingcheng Du, Rui Duan, Liu Yang, Jason H. Moore, Cui Tao and Yong Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 4):147

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