Research on identification of key brittleness factors in emergency medical resources support system based on complex network.

Peng, Benhong; Ge, Jiaojiao; Wei, Guo; Wan, Anxia

Peng, Benhong; Ge, Jiaojiao; Wei, Guo; Wan, Anxia.

Afiliación

Peng B; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: 002426@nuist.edu.cn.
Ge J; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: 20201224007@nuist.edu.cn.
Wei G; Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA. Electronic address: guo.wei@uncp.edu.
Wan A; School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China. Electronic address: 591567691@qq.com.

Artif Intell Med ; 131: 102350, 2022 09.

Article en En | MEDLINE | ID: mdl-36100341

Palabras clave

Complex network; Emergency support; Factor identification; Interpretive structural modeling; Medical resources

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Aspecto: Determinantes_sociais_saude Idioma: En Revista: Artif Intell Med Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos

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