Skip to main content

Volume 19 Supplement 6

Selected articles from the IEEE BIBM International Conference on Bioinformatics & Biomedicine (BIBM) 2018: 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 no competing interests.

Madrid, Spain3-6 December 2018

Edited by Xiaohua Hu

Conference website

  1. Globally, the cases of diabetes mellitus (diabetes) have increased in the past three decades, and it is recorded as one of the leading cause of death. This epidemic is a metabolic condition where the body cann...

    Authors: Igbe Tobore, Jingzhen Li, Abhishek Kandwal, Liu Yuhang, Zedong Nie and Lei Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):266
  2. Many genetic variants have been reported from sequencing projects due to decreasing experimental costs. Compared to the current typical paradigm, read mapping incorporating existing variants can improve the pe...

    Authors: Hongzhe Guo, Bo Liu, Dengfeng Guan, Yilei Fu and Yadong Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):265
  3. Diagnosis aims to predict the future health status of patients according to their historical electronic health records (EHR), which is an important yet challenging task in healthcare informatics. Existing diag...

    Authors: Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou and Jing Gao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):267
  4. With the advent of new high-throughput electron microscopy techniques such as serial block-face scanning electron microscopy (SBF-SEM) and focused ion-beam scanning electron microscopy (FIB-SEM) biomedical sci...

    Authors: Afshin Khadangi, Eric Hanssen and Vijay Rajagopal
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):272
  5. Traditional Chinese medicine (TCM) is a highly important complement to modern medicine and is widely practiced in China and in many other countries. The work of Chinese medicine is subject to the two factors o...

    Authors: Xintian Chen, Chunyang Ruan, Yanchun Zhang and Huijuan Chen
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):264
  6. Nucleus Accumbens (NAc) is a vital brain region for the process of reward and stress, whereas microRNA plays a crucial role in depression pathology. However, the abnormality of NAc miRNA expression during the ...

    Authors: Weichen Song, Yifeng Shen, Yanhua Zhang, Sufang Peng, Ran Zhang, Ailing Ning, Huafang Li, Xia Li, Guan Ning Lin and Shunying Yu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):271
  7. Sequence alignment is a way of arranging sequences (e.g., DNA, RNA, protein, natural language, financial data, or medical events) to identify the relatedness between two or more sequences and regions of simila...

    Authors: Ming Huang, Nilay D. Shah and Lixia Yao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):263
  8. Automatic vascular segmentation in X-ray angiographic image sequence is of crucial interest, for instance, for better quantifying coronary arteries in diagnostic and interventional procedures.

    Authors: Shuang Song, Chenbing Du, Ying Chen, Danni Ai, Hong Song, Yong Huang, Yongtian Wang and Jian Yang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):270
  9. As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared with other physiological signals, EEG signals are directly related to human cortical activities with excellent temporal re...

    Authors: Ahmed Fares, Sheng-hua Zhong and Jianmin Jiang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):268
  10. A collection of disease-associated data contributes to study the association between diseases. Discovering closely related diseases plays a crucial role in revealing their common pathogenic mechanisms. This mi...

    Authors: Lei Deng, Danyi Ye, Junmin Zhao and Jingpu Zhang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 6):269

Annual Journal Metrics

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