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
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;
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
DOI :
10.1109/ITAPP.2010.5566127