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Volume 18 Supplement 2

Selected extended articles from the 2nd International Workshop on Semantics-Powered Data Analytics

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.

Kansas City, MO, USA13 November 2017

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

Conference website

  1. In this editorial, we first summarize the 2nd International Workshop on Semantics-Powered Data Analytics (SEPDA 2017) held on November 13, 2017 in Kansas City, Missouri, U.S.A., and then briefly introduce 13 r...

    Authors: Zhe He, Cui Tao, Jiang Bian, Rui Zhang and Jingshan Huang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):56
  2. Cardiac Resynchronization Therapy (CRT) is an established pacing therapy for heart failure patients. The New York Heart Association (NYHA) class is often used as a measure of a patient’s response to CRT. Ident...

    Authors: Rui Zhang, Sisi Ma, Liesa Shanahan, Jessica Munroe, Sarah Horn and Stuart Speedie
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):48
  3. Despite widespread use, the safety of dietary supplements is open to doubt due to the fact that they can interact with prescribed medications, leading to dangerous clinical outcomes. Electronic health records ...

    Authors: Yadan Fan and Rui Zhang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):51
  4. Most of the current work on clinical temporal relation identification follows the convention developed in the general domain, aiming to identify a comprehensive set of temporal relations from a document includ...

    Authors: Hee-Jin Lee, Yaoyun Zhang, Min Jiang, Jun Xu, Cui Tao and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):49
  5. Relationships between bio-entities (genes, proteins, diseases, etc.) constitute a significant part of our knowledge. Most of this information is documented as unstructured text in different forms, such as book...

    Authors: Kaixian Yu, Pei-Yau Lung, Tingting Zhao, Peixiang Zhao, Yan-Yuan Tseng and Jinfeng Zhang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):42
  6. Extracting relationships between chemicals and diseases from unstructured literature have attracted plenty of attention since the relationships are very useful for a large number of biomedical applications suc...

    Authors: Haodi Li, Ming Yang, Qingcai Chen, Buzhou Tang, Xiaolong Wang and Jun Yan
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):60
  7. In the past few years, neural word embeddings have been widely used in text mining. However, the vector representations of word embeddings mostly act as a black box in downstream applications using them, there...

    Authors: Zhiwei Chen, Zhe He, Xiuwen Liu and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):65

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2018 18:73

  8. The emergence of the deep convolutional neural network (CNN) greatly improves the quality of computer-aided supporting systems. However, due to the challenges of generating reliable and timely results, clinica...

    Authors: Xinyuan Zhang, Shiqi Wang, Jie Liu and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):59
  9. Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric stressors in an at risk population will facilitate t...

    Authors: Jingcheng Du, Yaoyun Zhang, Jianhong Luo, Yuxi Jia, Qiang Wei, Cui Tao and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):43
  10. Association Rule Mining (ARM) has been widely used by biomedical researchers to perform exploratory data analysis and uncover potential relationships among variables in biomedical datasets. However, when biome...

    Authors: Rashmie Abeysinghe and Licong Cui
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):58
  11. Healthcare services, particularly in patient-provider interaction, often involve highly emotional situations, and it is important for physicians to understand and respond to their patients’ emotions to best en...

    Authors: Rebecca Lin, Muhammad “Tuan” Amith, Chen Liang, Rui Duan, Yong Chen and Cui Tao
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):64
  12. There is strong scientific evidence linking obesity and overweight to the risk of various cancers and to cancer survivorship. Nevertheless, the existing online information about the relationship between obesit...

    Authors: Juan Antonio Lossio-Ventura, William Hogan, François Modave, Yi Guo, Zhe He, Xi Yang, Hansi Zhang and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):55
  13. Cancer is the second leading cause of death in the United States, exceeded only by heart disease. Extant cancer survival analyses have primarily focused on individual-level factors due to limited data availabi...

    Authors: Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth Shenkman, François Modave and Jiang Bian
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):41
  14. Acute lymphoblastic leukemia is the most prevalent neoplasia among children. Despite the tremendous achievements of state-of-the-art treatment strategies, drug resistance is still a major cause of chemotherapy...

    Authors: Huiqin Chen, Dihua Zhang, Guoping Zhang, Xiaofeng Li, Ying Liang, Mohan Vamsi Kasukurthi, Shengyu Li, Glen M. Borchert and Jingshan Huang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 2):57

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