Interval Type-2 Fuzzy Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice

doi:10.1109/TCSS.2021.3125832

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 Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice
	Mo, Hong 1; Yang, Chun 1; Wang, Xiao2,3 ; Wang, Fei-Yue2,3,4,5
发表期刊	IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
ISSN	2329-924X
	2021-11-16
页码	10
通讯作者	Mo, Hong(mohong198@163.com)
摘要	Neonatal pathological jaundice (NPJ) is easy to cause bilirubin encephalopathy, which has high mortality and sequelae rate. Therefore, accurate risk evaluation can help clinicians take appropriate measures to timely intervene in neonatal jaundice level and avoid complications. In this article, five indexes are extracted as the factor set for the risk evaluation of NPJ, and the diagnostic criteria are determined. Then, five index sets are described by interval type-2 fuzzy sets, and the corresponding membership functions and membership function figures are provided. The feasibility of interval type-2 fuzzy comprehensive evaluation in risk evaluation of NPJ is demonstrated through example, and the fuzzy rule bases of prevention and treatment for NPJ are constructed according to the results of risk evaluation. Finally, this article demonstrates that the proposed risk evaluation and treatment process of NPJ is actually a dynamic closed-loop control process, which is consistent with the clinical treatment process. This article provides a new solution for the aided diagnosis and decision-making treatment of NPJ, which is of great significance in reducing neonatal mortality and alleviating the pressure of medical staff.
关键词	Pediatrics Frequency selective surfaces Fuzzy sets Pathology Process control Medical diagnostic imaging Biomedical monitoring Dynamic closed-loop control process fuzzy rule bases interval type-2 fuzzy comprehensive evaluation neonatal pathological jaundice (NPJ)
DOI	10.1109/TCSS.2021.3125832
关键词[WOS]	DYNAMIC-SYSTEMS ; NEURAL-NETWORK ; BILIRUBIN ; LOGIC ; HYPERBILIRUBINEMIA ; UNCERTAINTY ; COLOR
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Cybernetics ; Computer Science, Information Systems
WOS记录号	WOS:000732322400001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：12[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/173211/46882
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Qingdao Acad Intelligent Ind, Qingdao 266109, Peoples R China 4.Natl Univ Def Technol, Res Ctr Mil Computat Expt & Parallel Syst, Changsha 410015, Peoples R China 5.Univ Chinese Acad Sci, Ctr China Econ & Social Secur, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Mo, Hong,Yang, Chun,Wang, Xiao,et al. Interval Type-2 Fuzzy Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2021:10.
APA	Mo, Hong,Yang, Chun,Wang, Xiao,&Wang, Fei-Yue.(2021).Interval Type-2 Fuzzy Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,10.
MLA	Mo, Hong,et al."Interval Type-2 Fuzzy Analysis and Comprehensive Evaluation for Neonatal Pathological Jaundice".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2021):10.