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, USA

08-10 December 2016

Conference website

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

  1. Introduction

    Introduction: the International Conference on Intelligent Biology and Medicine (ICIBM) 2016: special focus on medical informatics and big data

    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...

    Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao

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

    Published on: 5 July 2017

  2. Research

    Detecting clinically relevant new information in clinical notes across specialties and settings

    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...

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

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

    Published on: 5 July 2017

  3. Research

    An active learning-enabled annotation system for clinical named entity recognition

    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...

    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

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

    Published on: 5 July 2017

  4. Research

    Entity recognition from clinical texts via recurrent neural network

    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...

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

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

    Published on: 5 July 2017

  5. Research

    Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks

    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...

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

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

    Published on: 5 July 2017

  6. Research

    A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data

    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...

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

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

    Published on: 5 July 2017