An optimal model of information diffusion principles to risk and decision analysis of breast cancer morbidity

Rongmin Li, Jiaqi Yao, Haijian Chu, Da Ruan

    Research outputpeer-review


    Information diffusion methods (IDMs) often deal with “small sample problems” and distribute the information of one data point to its neighbors in fuzzy information processing. By considering new criteria, we establish an optimal model for parameters of IDMs to risk and decision analysis of fatal disease. We further illustrate a specific process and a successful application of IDMs by a more reasonable morbidity surface from one-dimensional and two-dimensional case studies of breast cancer analysis in Yanpu District, Shanghai.
    Original languageEnglish
    Pages (from-to)1297-1303
    Number of pages7
    JournalSoft Computing
    StatePublished - 14 Nov 2009

    Cite this