R package for Cardiovascular Risk Dataset and Data generation script
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Updated
Feb 1, 2019 - R
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cardiovascular
Here are 7 public repositories matching this topic...
CTAMACE is a web application which can be used to predict major cardiovascular events (MACE) two years following coronary multidetector computed tomography (MDCT) using combined anatomical coronary findings and clinical features
machine-learning r medicine shiny artificial-intelligence shinyapps shinydashboard cardiovascular cardiology shiny-r
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Nov 23, 2022 - R
Predicting First-Year Survival after Percutaneous Coronary Interventions: A Machine Learning-Based ShinyApp Web Application in R
devops machine-learning r shiny artificial-intelligence shiny-apps shinyapps shinydashboard cardiovascular cardiology shiny-r mlops github-actions
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Mar 31, 2023 - R
Analysis of 10- and 30-year predicted CVD risk among JHS participants
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Jun 19, 2024 - R
R code for the data managment and statistical analysis performed for Association between B-Blockers and Outcomes in HFpEF - Current Insights from the SwedeHF Registry.
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Nov 1, 2021 - R
Analysis scripts for the manuscript: "Spatial transcriptomics unveils ZBTB11 as a regulator of cardiomyocyte degeneration in arrhythmogenic cardiomyopathy".
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Jan 27, 2022 - R
Pipeline for bulk tissue cell-type deconvolution using single-cell RNA-seq as reference
bioinformatics next-generation-sequencing pipelining single-cell rna-seq-analysis cardiovascular seurat bisque
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Oct 30, 2020 - R
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