2.8. Statistical Analyses

JZ Jindong Zhao
YL Yan Li
LX Ling Xin
MS Min Sun
CY Chanjuan Yu
GS Guobin Shi
TB Taotao Bao
JL Jian Liu
YN Yingqun Ni
RL RuiMin Lu
YW Yuanyuan Wu
ZF Zhaohui Fang
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Statistical analyses were performed using SPSS 23.0 statistical software (SPSS Inc., Chicago, IL, USA). Measurement data with a normal distribution are expressed as the mean ± standard deviation (SD), and the squared deviation method was used for cluster analysis. The CHM rules were analysed with the a priori algorithm, entropy clustering of complex systems, and Bayesian network analysis. The prediction accuracy of the machine learning classification methods including association rules, cluster analysis, and complex networks using clinical data were 84.1%, 75.0%, and 84.5%, respectively [16, 18]. P < 0.05 was considered to indicate statistical significance.

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