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Volume 19 Supplement 8

Proceedings of the 11th International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO 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.

Singapore, Singapore10 November 2017

Conference website

Edited by Sangwoo Kim and Mark Stevenson

  1. Content type: Research

    Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the ...

    Authors: Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani, Girish Keshav Palshikar and Vasudeva Varma

    Citation: BMC Bioinformatics 2018 19(Suppl 8):212

    Published on:

  2. Content type: Research

    Administered drugs are often converted into an ineffective or activated form by enzymes in our body. Conventional in silico prediction approaches focused on therapeutically important enzymes such as CYP450. Ho...

    Authors: Myeong-Sang Yu, Hyang-Mi Lee, Aaron Park, Chungoo Park, Hyithaek Ceong, Ki-Hyeong Rhee and Dokyun Na

    Citation: BMC Bioinformatics 2018 19(Suppl 8):207

    Published on:

  3. Content type: Research

    Suicide is an alarming public health problem accounting for a considerable number of deaths each year worldwide. Many more individuals contemplate suicide. Understanding the attributes, characteristics, and ex...

    Authors: Reilly N. Grant, David Kucher, Ana M. León, Jonathan F. Gemmell, Daniela S. Raicu and Samah J. Fodeh

    Citation: BMC Bioinformatics 2018 19(Suppl 8):211

    Published on:

  4. Content type: Research

    As Twitter has become an active data source for health surveillance research, it is important that efficient and effective methods are developed to identify tweets related to personal health experience. Conven...

    Authors: Keyuan Jiang, Shichao Feng, Qunhao Song, Ricardo A. Calix, Matrika Gupta and Gordon R. Bernard

    Citation: BMC Bioinformatics 2018 19(Suppl 8):210

    Published on:

2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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