Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System

doi:10.1109/TCSS.2022.3164889

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System
	Mo, Hong 1; Hu, Haihong 1; Hu, Jinhui 2; Li, Yuanyuan 2; Wang, Xiao3,4 ; Wang, Fei-Yue3,4,5,6
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2022-05-12
页码	13
通讯作者	Mo, Hong(mohong198@163.com)
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.
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)
DOI	10.1109/TCSS.2022.3164889
关键词[WOS]	MANAGEMENT MODEL ; FAMILY-HISTORY ; ASSOCIATION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61473048] ; National Natural Science Foundation of China[61074093]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000795210700001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/49471
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
通讯作者	Mo, Hong
作者单位	1.Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410114, Peoples R China 2.Hunan Univ Chinese Med, Affiliated Hosp 1, Changsha 410208, Peoples R China 3.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100080, Peoples R China 4.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 5.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst, Changsha 410015, Peoples R China 6.Univ Chinese Acad Sci, Ctr China Econ & Social Secur, Beijing 100190, 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.