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BMC Medical Informatics and Decision Making

Volume 17 Supplement 2

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2016: 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.

Houston, Texas, USA08-10 December 2016

Conference website

Edited by Yang Gong, Cui Tao, Hua Xu and Zhongming Zhao

  1. Content type: Introduction

    In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten r...

    Authors: Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):77

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  2. Content type: Research

    To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging ...

    Authors: Boshu Ru, Xiaoyan Wang and Lixia Yao

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):74

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  3. Content type: Research

    Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and cli...

    Authors: Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang and Genevieve B. Melton

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):68

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  4. Content type: Research

    Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the develo...

    Authors: Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):73

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  5. Content type: Research

    Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studi...

    Authors: Yukun Chen, Thomas A. Lask, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):82

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  6. Content type: Research

    The most important knowledge in the field of patient safety is regarding the prevention and reduction of patient safety events (PSE) during treatment and care. The similarities and patterns among the events ma...

    Authors: Hong Kang and Yang Gong

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):75

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  7. Content type: Research

    Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entitie...

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

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):67

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  8. Content type: Research

    As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towa...

    Authors: Jingcheng Du, Jun Xu, Hsing-Yi Song and Cui Tao

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):69

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  9. Content type: Research

    On average, 570 million users, 93% in China’s first-tier cities, log on to WeChat every day. WeChat has become the most widely and frequently used social media in China, and has been profoundly integrated into...

    Authors: Xingting Zhang, Dong Wen, Jun Liang and Jianbo Lei

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):66

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  10. Content type: Research

    We develop predictive models enabling clinicians to better understand and explore patient clinical data along with risk factors for pressure ulcers in intensive care unit patients from electronic health record...

    Authors: Pacharmon Kaewprag, Cheryl Newton, Brenda Vermillion, Sookyung Hyun, Kun Huang and Raghu Machiraju

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):65

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  11. Content type: Research

    To identify safety signals by manual review of individual report in large surveillance databases is time consuming; such an approach is very unlikely to reveal complex relationships between medications and adv...

    Authors: Yi Cai, Jingcheng Du, Jing Huang, Susan S. Ellenberg, Sean Hennessy, Cui Tao and Yong Chen

    Citation: BMC Medical Informatics and Decision Making 2017 17(Suppl 2):76

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