Author: Xiaofan Lu; Yang Wang; Taige Chen; Yongsheng Li; Jun Wang; Fangrong Yan
Title: Classification of COVID-19 in intensive care patients: towards rational and effective clinical triage Document date: 2020_4_11
ID: 6cr9h7no_4
Snippet: A total of 151 intensive care patients with complete medical records were further filtered out for this study. We constructed a fully Bayesian latent variable model for integrative clustering of the six data categories with different distributions (2) . Specifically, age was dichotomized with 65-year cutoff according to the literature (3). Outliers were detected by Tukey's method which uses interquartile (IQR) range approach, and outliers ranged .....
Document: A total of 151 intensive care patients with complete medical records were further filtered out for this study. We constructed a fully Bayesian latent variable model for integrative clustering of the six data categories with different distributions (2) . Specifically, age was dichotomized with 65-year cutoff according to the literature (3). Outliers were detected by Tukey's method which uses interquartile (IQR) range approach, and outliers ranged above and below the 1.5×IQR were substituted with third quartile+1.5×IQR and first quartile-1.5×IQR, respectively.
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