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Volume 15 Supplement 1

Proceedings of the ACM Eighth International Workshop on Data and Text Mining in Biomedical Informatics

Research

Edited by Doheon Lee, Hua Xu, Min Song and Luonan Chen

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. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.

ACM Eighth International Workshop on Data and Text Mining in Biomedical Informatics. Go to conference site.

Shanghai, China7 November 2014

  1. Content type: Research article

    Alzheimer's disease (AD) is a neurodegenerative and progressive disorder that results in brain malfunctions. Resting-state (RS) functional magnetic resonance imaging (fMRI) techniques have been successfully ap...

    Authors: Jongan Lee, Younghoon Kim, Yong Jeong, Duk L Na, Jong-Won Kim, Kwang H Lee and Doheon Lee

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S1

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  2. Content type: Research article

    Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including medicine. Although parsers developed i...

    Authors: Min Jiang, Yang Huang, Jung-wei Fan, Buzhou Tang, Josh Denny and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S2

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  3. Content type: Research article

    Interactions between biological entities such as genes, proteins and metabolites, so called pathways, are key features to understand molecular mechanisms of life. As pathway information is being accumulated ra...

    Authors: Seyeol Yoon, Jinmyung Jung, Hasun Yu, Mijin Kwon, Sungji Choo, Kyunghyun Park, Dongjin Jang, Sangwoo Kim and Doheon Lee

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S3

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  4. Content type: Research article

    The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received m...

    Authors: Jin G Zheng, Daniel Howsmon, Boliang Zhang, Juergen Hahn, Deborah McGuinness, James Hendler and Heng Ji

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S4

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  5. Content type: Research article

    Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promisi...

    Authors: Lin Chen, Kirsten Vallmuur and Richi Nayak

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S5

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  6. Content type: Research article

    Alterations of a genome can lead to changes in protein functions. Through these genetic mutations, a protein can lose its native function (loss-of-function, LoF), or it can confer a new function (gain-of-funct...

    Authors: Seunghwan Jung, Sejoon Lee, Sangwoo Kim and Hojung Nam

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S6

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  7. Content type: Research article

    It has been reported that several brain diseases can be treated as transnosological manner implicating possible common molecular basis under those diseases. However, molecular level commonality among those bra...

    Authors: Kihoon Cha, Taeho Hwang, Kimin Oh and Gwan-Su Yi

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S7

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  8. Content type: Research article

    Electronic Health Records (EHRs) are frequently used by clinicians and researchers to search for, extract, and analyze groups of patients by defining Health Outcome of Interests (HOI). The definition of an HOI...

    Authors: Olivier C Curé, Henri Maurer, Nigam H Shah and Paea Le Pendu

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S8

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  9. Content type: Research article

    Bio-entity extraction is a pivotal component for information extraction from biomedical literature. The dictionary-based bio-entity extraction is the first generation of Named Entity Recognition (NER) techniques.

    Authors: Min Song, Hwanjo Yu and Wook-Shin Han

    Citation: BMC Medical Informatics and Decision Making 2015 15(Suppl 1):S9

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