Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System
文献类型：期刊论文
| 作者 | Mo, Hong6; Hu, Haihong6; Hu, Jinhui5; Li, Yuanyuan5; Wang, Xiao3,4 ; Wang, Fei-Yue1,2,3,4
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| 刊名 | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
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| 出版日期 | 2022-05-12 |
| 页码 | 13 |
| 关键词 | History Fuzzy control Complex systems Training Real-time systems Medical diagnostic imaging Industries ACP breast cancer (BC) fuzzy comprehensive evaluation interval type-2 fuzzy sets (IT2 FSs) |
| ISSN号 | 2329-924X |
| DOI | 10.1109/TCSS.2022.3164889 |
| 通讯作者 | Mo, Hong(mohong198@163.com) |
| 英文摘要 | Breast cancer (BC) seriously threatens women's health. The establishment of a risk evaluation model cancer is conducive to early screening and prevention of BC. In this article, a new method of the evaluation and the framework of prevention for BC are proposed by synthesizing interval type-2 fuzzy sets (IT2 FSs), two-level fuzzy comprehensive evaluation, and parallel control (Artificial societies, Computational experiments, and Parallel execution, ACP). At the same time, 12 risk factors were selected as indicators to evaluate the risk level of BC, and then, according to the evaluation results, the correspondingly prevention strategies and intervention measures for different risk levels were discussed. Then, the prevention strategies are analyzed and selected in the computational experiment module of the artificial system, and the patient indexes are monitored in real time by the parallel mechanism between the actual and the artificial system, to feedback, adjust, and optimize the prevention scheme in time. This parallel BC prevention process can achieve dynamic closed-loop control effects. A new effective way for BC prevention was presented, which is of great significance for reducing its incidence rate and developing new medical means. |
| WOS关键词 | MANAGEMENT MODEL ; FAMILY-HISTORY ; ASSOCIATION |
| 资助项目 | National Natural Science Foundation of China[61473048] ; National Natural Science Foundation of China[61074093] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000795210700001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/49470]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Mo, Hong |
| 作者单位 | 1.Univ Chinese Acad Sci, Ctr China Econ & Social Secur, Beijing 100190, Peoples R China 2.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst, Changsha 410015, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 4.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China 5.Hunan Univ Chinese Med, Affiliated Hosp 1, Changsha 410208, Peoples R China 6.Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Peoples R China |
| 推荐引用方式 GB/T 7714 | Mo, Hong,Hu, Haihong,Hu, Jinhui,et al. Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2022:13. |
| APA | Mo, Hong,Hu, Haihong,Hu, Jinhui,Li, Yuanyuan,Wang, Xiao,&Wang, Fei-Yue.(2022).Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,13. |
| MLA | Mo, Hong,et al."Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2022):13. |
入库方式： OAI收割
来源：自动化研究所
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