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, USA

29 October 2012

  1. Proceedings

    Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features

    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...

    Buzhou Tang, Hongxin Cao, Yonghui Wu, Min Jiang and Hua Xu

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S1

    Published on: 5 April 2013

  3. Proceedings

    Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data

    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...

    Chiyong Kang, Hyeji Yu and Gwan-Su Yi

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S3

    Published on: 5 April 2013

  4. Proceedings

    Rule-based multi-scale simulation for drug effect pathway analysis

    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...

    Woochang Hwang, Yongdeuk Hwang, Sunjae Lee and Doheon Lee

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S4

    Published on: 5 April 2013

  5. Proceedings

    Improved method for protein complex detection using bottleneck proteins

    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.

    Jaegyoon Ahn, Dae Hyun Lee, Youngmi Yoon, Yunku Yeu and Sanghyun Park

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S5

    Published on: 5 April 2013

  6. Proceedings

    A method for discovering and inferring appropriate eligibility criteria in clinical trial protocols without labeled data

    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

    Angelo Restificar, Ioannis Korkontzelos and Sophia Ananiadou

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S6

    Published on: 5 April 2013

  7. Proceedings

    On the efficacy of per-relation basis performance evaluation for PPI extraction and a high-precision rule-based approach

    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...

    Junkyu Lee, Seongsoon Kim, Sunwon Lee, Kyubum Lee and Jaewoo Kang

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S7

    Published on: 5 April 2013

  8. Proceedings

    Efficient protein structure search using indexing methods

    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...

    Sungchul Kim, Lee Sael and Hwanjo Yu

    BMC Medical Informatics and Decision Making 2013 13(Suppl 1):S8

    Published on: 5 April 2013

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