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Volume 19 Supplement 9

Proceedings of the 2018 International Conference on Intelligent Computing (ICIC 2018) and Intelligent Computing and Biomedical Informatics (ICBI) 2018 conference: medical informatics and decision making

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 Editor declares that they have no competing interests.

Wuhan and Shanghai, China15-18 August 2018, 3-4 November 2018

  1. In order to better help doctors make decision in the clinical setting, research is necessary to connect electronic health record (EHR) with the biomedical literature. Pseudo Relevance Feedback (PRF) is a kind ...

    Authors: Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He and Xingpeng Jiang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):251
    Content type: Research Published on:

  2. Assessment and rating of Parkinson’s Disease (PD) are commonly based on the medical observation of several clinical manifestations, including the analysis of motor activities. In particular, medical specialist...

    Authors: Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, Gianpaolo Francesco Trotta, Antonio Brunetti and Vitoantonio Bevilacqua
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):243
    Content type: Research Published on:

  3. The automatic segmentation of kidneys in medical images is not a trivial task when the subjects undergoing the medical examination are affected by Autosomal Dominant Polycystic Kidney Disease (ADPKD). Several ...

    Authors: Vitoantonio Bevilacqua, Antonio Brunetti, Giacomo Donato Cascarano, Andrea Guerriero, Francesco Pesce, Marco Moschetta and Loreto Gesualdo
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):244
    Content type: Research Published on:

  4. Handwriting represents one of the major symptom in Parkinson’s Disease (PD) patients. The computer-aided analysis of the handwriting allows for the identification of promising patterns that might be useful in ...

    Authors: Giacomo Donato Cascarano, Claudio Loconsole, Antonio Brunetti, Antonio Lattarulo, Domenico Buongiorno, Giacomo Losavio, Eugenio Di Sciascio and Vitoantonio Bevilacqua
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):252
    Content type: Research Published on:

  5. Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today’s computers to have the property of learning. Machine learning is g...

    Authors: Mohamed Alloghani, Ahmed Aljaaf, Abir Hussain, Thar Baker, Jamila Mustafina, Dhiya Al-Jumeily and Mohammed Khalaf
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 9):253
    Content type: Research Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2020 20:93

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Annual Journal Metrics

  • Citation Impact
    3.298 - 2-year Impact Factor (2021)
    3.894 - 5-year Impact Factor (2021)
    1.387 - SNIP (Source Normalized Impact per Paper)
    0.833 - SJR (SCImago Journal Rank)

    Speed
    43 days to first decision for all manuscripts (Median)
    88 days to first decision for reviewed manuscripts only (Median)

    Usage 
    2,056,778 Downloads (2021)
    1,628 Altmetric mentions (2021)

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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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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