• DocumentCode
    2925700
  • Title

    Mining Biomedical Knowledge Using Mutual information ABC

  • Author

    Li, Guangrong ; Zhang, Xiaodan

  • Author_Institution
    Sch. of Bus., Hunan Univ., Changsha, China
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    848
  • Lastpage
    850
  • Abstract
    The novel connection between Raynaud disease and fish oils was uncovered from two disjointed biomedical literature sets by Swanson in 1986. Since then, there have been many approaches to uncover novel connections by mining the biomedical literatures. This paper presents a Mining Biomedical Knowledge method Using Mutual information ABC. For a given starting medical concept, it discovers new, potentially meaningful relations/connection with other concepts that have not been published in the medical literature before. The discovered relations/connections are novel and can be useful for domain expert to conduct new experiment and try new treatment.
  • Keywords
    data mining; diseases; medical expert systems; Raynaud disease; biomedical knowledge mining; biomedical literature mining; disjointed biomedical literature set; fish oils; medical concept starting; mutual information ABC; potentially meaningful relation; Biomedical measurements; Diseases; Educational institutions; Information science; Marine animals; Mutual information; Oils; biomedical knowledge; mining; mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122711
  • Filename
    6122711