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

Research output: Contribution to journalArticlepeer-review


  • Rongmin Li
  • Jiaqi Yao
  • Haijian Chu
  • Da Ruan

Institutes & Expert groups

  • Fudan University

Documents & links


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
Publication statusPublished - 14 Nov 2009


  • Information diffusion methods, Optimization, Fuzzy information, decision analysis, Morbidity

ID: 6853738