Prognosis System for Lung Cancer Based on Rough Set Theory

摘要：

Currently, lung cancer, as a kind of malignant tumor, is the No. one killer of human health. The incidence and mortality of it have the fastest growth. Prognostic factors for lung cancer are very complicated, but most studies only report a few prognostic factors. In this paper, a prognostic system is constructed based on rough sets. It collects all possible factors, finds relevant prognostic factors under different conditions through the reduction algorithm and makes rules to guide clinic. The article gives the systematic processing procedure, main functions, core algorithms and some possible prognostic factors for lung cancer. Practice shows that applying this system to predicting the prognosis of lung cancer is a feasible approach.

关键词： rough sets lung cancer prognosis five-year survival rate

作者: Long-Jun HUANG Li-pin DAI Cai-Ying ZHOU

作者单位: Software of Software JiangXi Normal University NanChang,China Science&Technology Division JiangXi University of Science and Technology GanZhou,China

会议类型: 国际会议

会议名称: Third International Conference on Information and Computing(第三届信息与计算科学国际会议 ICIC 2010)

会议地点: 无锡

会议语种:英文

页码: 7-10

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）