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Volume 13 Supplement 1

Proceedings of the ACM Sixth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2012)

Proceedings

Edited by Doheon Lee, Sophia Ananiadou, Min Song and Hua Xu

This supplement has not been sponsored. Publication of this supplement was funded by the authors.

ACM Sixth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2012). Go to conference site.

Maui, HI, USA29 October 2012

  1. Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinic...

    Authors: Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S1
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  2. As the amount of publicly available biomedical data increases, discovering hidden knowledge from biomedical data (i.e., Undiscovered Public Knowledge (UPK) proposed by Swanson) became an important research top...

    Authors: Jaejoon Choi, Kwangmin Kim, Min Song and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S2
    Content type: Proceedings Published on:

  3. Due to the low statistical power of individual markers from a genome-wide association study (GWAS), detecting causal single nucleotide polymorphisms (SNPs) for complex diseases is a challenge. SNP combinations...

    Authors: Chiyong Kang, Hyeji Yu and Gwan-Su Yi
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S3
    Content type: Proceedings Published on:

  4. Biological systems are robust and complex to maintain stable phenotypes under various conditions. In these systems, drugs reported the limited efficacy and unexpected side-effects. To remedy this situation, ma...

    Authors: Woochang Hwang, Yongdeuk Hwang, Sunjae Lee and Doheon Lee
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S4
    Content type: Proceedings Published on:

  5. Detecting protein complexes is one of essential and fundamental tasks in understanding various biological functions or processes. Therefore accurate identification of protein complexes is indispensable.

    Authors: Jaegyoon Ahn, Dae Hyun Lee, Youngmi Yoon, Yunku Yeu and Sanghyun Park
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S5
    Content type: Proceedings Published on:

  6. We consider the user task of designing clinical trial protocols and propose a method that discovers and outputs the most appropriate eligibility criteria from a potentially huge set of candidates. Each document d

    Authors: Angelo Restificar, Ioannis Korkontzelos and Sophia Ananiadou
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S6
    Content type: Proceedings Published on:

  7. Most previous Protein Protein Interaction (PPI) studies evaluated their algorithms' performance based on "per-instance" precision and recall, in which the instances of an interaction relation were evaluated in...

    Authors: Junkyu Lee, Seongsoon Kim, Sunwon Lee, Kyubum Lee and Jaewoo Kang
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S7
    Content type: Proceedings Published on:

  8. Understanding functions of proteins is one of the most important challenges in many studies of biological processes. The function of a protein can be predicted by analyzing the functions of structurally simila...

    Authors: Sungchul Kim, Lee Sael and Hwanjo Yu
    Citation: BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S8
    Content type: Proceedings Published on:
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Annual Journal Metrics

  • Citation Impact
    3.298 - 2-year Impact Factor (2021)
    3.894 - 5-year Impact Factor (2021)
    1.387 - SNIP (Source Normalized Impact per Paper)
    0.833 - SJR (SCImago Journal Rank)

    Speed
    43 days to first decision for all manuscripts (Median)
    88 days to first decision for reviewed manuscripts only (Median)

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    Identity transparency: Single anonymized

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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