Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm

Research on symptoms composition, time series evolution, and network visualisation of interstitial cystitis based on complex network community discovery algorithm

Abstract We analyzed the symptoms composition of Interstitial Cystitis (IC), the regularity of the evolution of symptoms before and after treatment, and the visualization of the community network, to provide a reference for clinical diagnosis and treatment of Interstitial Cystitis. Based on the outp...

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Bibliographic Details
Main Authors: Lei Pang, Zijun Ding, Xiaodong Bian, Weibing Shuang
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:IET Systems Biology
Subjects:
big data
bioinformatics
biology computing
combinatorial mathematics
complex networks
data analysis
Online Access:https://doi.org/10.1049/syb2.12083

Internet

https://doi.org/10.1049/syb2.12083

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