Author: Pawel Dlotko; Simon Rudkin
Title: Covid-19 clinical data analysis using Ball Mapper Document date: 2020_4_15
ID: a5fdeuvv_6
Snippet: In this work we will use variables from columns 1 as well as 6-20 as a characteristics/descriptor of a patient. Our target will be to locate any clusters of patients with particularly high value of variable 2 (positively of SARS-Cov-2 result), patients that have been admitted to a regular ward, semi intensive or intensive care unit. For the purpose of this study we will use Ball Mapper algorithm D lotko (2019a) and its public domain implementatio.....
Document: In this work we will use variables from columns 1 as well as 6-20 as a characteristics/descriptor of a patient. Our target will be to locate any clusters of patients with particularly high value of variable 2 (positively of SARS-Cov-2 result), patients that have been admitted to a regular ward, semi intensive or intensive care unit. For the purpose of this study we will use Ball Mapper algorithm D lotko (2019a) and its public domain implementation D lotko (2019b) available through CRAN repository. To make the obtained results reproducible, all the code that have been used, will be presented in this paper.
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