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Volume 19 Supplement 1

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 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 Editors declare that they have no competing interests.

Los Angeles, CA, USA10-12 June 2018

Edited by Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao.

Conference website

Related articles have been published as supplements to BMC Bioinformatics (Part 1 and Part 2), BMC Genomics, BMC Medical Genomics and BMC Systems Biology

  1. In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly intr...

    Authors: Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):21

    Content type: Introduction

    Published on:

  2. The development of acute kidney injury (AKI) during an intensive care unit (ICU) admission is associated with increased morbidity and mortality.

    Authors: Lindsay P. Zimmerman, Paul A. Reyfman, Angela D. R. Smith, Zexian Zeng, Abel Kho, L. Nelson Sanchez-Pinto and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):16

    Content type: Research

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  3. Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalizati...

    Authors: Tianzhong Yang, Yang Yang, Yugang Jia and Xiao Li

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):18

    Content type: Research

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  4. The goal of temporal indexing is to select an occurred time or time interval for each medical entity in clinical notes, so that all medical entities can be indexed on a united timeline, which could assist the ...

    Authors: Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):17

    Content type: Research

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  5. Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to...

    Authors: Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):22

    Content type: Research

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  6. Characterizing the synchronous changes of epileptic seizures in different stages between different regions is profound to understand the transmission pathways of epileptic brain network and epileptogenic foci....

    Authors: Tian Mei, Xiaoyan Wei, Ziyi Chen, Xianghua Tian, Nan Dong, Dongmei Li and Yi Zhou

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):19

    Content type: Research

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  7. Disease comorbidity is very common and has significant impact on disease treatment. Revealing the associations among diseases may help to understand the mechanisms of diseases, improve the prevention and treat...

    Authors: Guocai Chen, Yuxi Jia, Lisha Zhu, Ping Li, Lin Zhang, Cui Tao and W. Jim Zheng

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):20

    Content type: Research

    Published on: