Evaluation of Tumor Treatment Effect Based on Data Mining Technology

Autor: Jianmin He, Yue-feng Zhang, Hui-liang Zhao
Rok vydání: 2010
Předmět:
Zdroj: 2010 International Conference on Internet Technology and Applications.
DOI: 10.1109/itapp.2010.5566127
Popis: 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.
Databáze: OpenAIRE