• DocumentCode
    1974596
  • Title

    Evaluation of Tumor Treatment Effect Based on Data Mining Technology

  • Author

    Zhao Hui-liang ; He Jian-min ; Zhang Yue-feng

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    An approach based on data mining technology is put forward to evaluate the effect of tumor treatment. Firstly, cases are clustered according to the initial state of cancer patients, such as age, sex and tumor attributes. Second, the efficacy of magnetic therapy is classified based on pre and post information (mainly tumor image information) of the patient. After analyzing the images of cancer in magnetic therapy, the shape, gray-scale and image characteristics are extracted, and the treatment effect is classified according to the change of image characteristics. Than, treatment effect is evaluated by using fuzzy comprehensive evaluation. Finally, an example shows the evaluation approach is valid, and it provides a new method to evaluate treatment effect of magnetic therapy instrument.
  • Keywords
    data mining; feature extraction; fuzzy set theory; medical image processing; tumours; cancer patients; data mining technology; fuzzy comprehensive evaluation; image characteristics; magnetic therapy instrument; tumor image information; tumor treatment effect evaluation; DICOM; Data mining; Frequency modulation; Magnetic resonance imaging; Manganese; Medical treatment; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications, 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5142-5
  • Electronic_ISBN
    978-1-4244-5143-2
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566127
  • Filename
    5566127