Skip to main content

Volume 3 Supplement 3

Machine Learning for Biomedical Literature Analysis and Text Retrieval in the International Conference on Machine Learning and Applications 2011

Research

Edited by Rezarta Islamaj Dogan and Lana Yeganova

Machine Learning for Biomedical Literature Analysis and Text Retrieval in the International Conference on Machine Learning and Applications 2011.

Honolulu, HI, USA18-21 December 2011

  1. We propose a method for automatic extraction of protein-specific residue mentions from the biomedical literature. The method searches text for mentions of amino acids at specific sequence positions and attempt...

    Authors: KE Ravikumar, Haibin Liu, Judith D Cohn, Michael E Wall and Karin Verspoor
    Citation: Journal of Biomedical Semantics 2012 3(Suppl 3):S2
  2. There are several humanly defined ontologies relevant to Medline. However, Medline is a fast growing collection of biomedical documents which creates difficulties in updating and expanding these humanly define...

    Authors: Lana Yeganova, Won Kim, Donald C Comeau and W John Wilbur
    Citation: Journal of Biomedical Semantics 2012 3(Suppl 3):S3
  3. Clinical reports are written using a subset of natural language while employing many domain-specific terms; such a language is also known as a sublanguage for a scientific or a technical domain. Different genr...

    Authors: Rohit J Kate
    Citation: Journal of Biomedical Semantics 2012 3(Suppl 3):S4
  4. Clustering textual contents is an important step in mining useful information on the web or other text-based resources. The common task in text clustering is to handle text in a multi-dimensional space, and to...

    Authors: Sun Kim and W John Wilbur
    Citation: Journal of Biomedical Semantics 2012 3(Suppl 3):S6

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 1.6
    5-year Journal Impact Factor: 2.2
    Source Normalized Impact per Paper (SNIP): 1.210
    SCImago Journal Rank (SJR): 0.513

    Speed 2023
    Submission to first editorial decision (median days): 22
    Submission to acceptance (median days): 265

    Usage 2023
    Downloads: 372,419
    Altmetric mentions: 206