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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Software using random forest for risk prediction of heart valve surgery patients
 HERMANUTZ, Georg
CASPeR - Cardiac surgery prediction tool for risk stratification of heart valve surgeries is presented. The base builds a machine learning pipeline for training a random forest classifier which predicts the mortality after a certain amount of days after the surgery was performed. The classifier also offers a list of potential risk factors through its in build feature selection. With a survival analysis the groups "high-risk" and "low-risk" are compared with each other to check for statistical difference. The tool uses "Shiny" a R package which offers a web frame work to develop data analysis visualizations for the User Interface. CASpeR is delivered as a Microsoft Windows standalone desktop application, that comes with a .exe installer and a detailed manual.
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Data Visualisation Methods in the Statistical Computational Programme R
 Hanková, Monika ; Procházka, Jiří (advisor) ; Malá, Ivana (referee)
Visualisation is a key element for analysis in statistics. This thesis describes data visualisation methods in the statistical computational programme R which, thanks to add-on packages, contains several tools for plotting. Data visualisation may be much more complicated than it seems to be, the focus is aimed at the general connection between packages as well as the particular visualisation of base graphics, ggplot2 and lattice package. These packages are built based on the traditional graphical model in R, grammar of graphics and trellis plotting. The interactive shiny app provides an overall view about how the data are visualised by each package.
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