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EHRtemporalVariability
View on CRAN: Click
here
Download and install EHRtemporalVariability package within the R console
Install from CRAN:
install.packages("EHRtemporalVariability")
Install from Github:
library("remotes")
install_github("cran/EHRtemporalVariability")
Install by package version:
library("remotes")
install_version("EHRtemporalVariability", "1.2.1")
Attach the package and use:
library("EHRtemporalVariability")
Maintained by
Carlos Sáez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.EHRtemporalVariability . https://github.com/hms-dbmi/EHRtemporalVariability . EHRtemporalVariability results . EHRtemporalVariability.pdf . EHRtemporalVariability . EHRtemporalVariability_1.2.1.tar.gz . EHRtemporalVariability_1.2.1.zip . EHRtemporalVariability_1.2.1.zip . EHRtemporalVariability_1.2.1.zip . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability_1.2.1.tgz . EHRtemporalVariability archive . https://CRAN.R-project.org/package=EHRtemporalVariability .
First Published: 2019-03-14
Latest Update: 2024-01-26
Description:
Functions to delineate temporal dataset shifts in Electronic Health
Records through the projection and visualization of dissimilarities
among data temporal batches. This is done through the estimation of
data statistical distributions over time and their projection in
non-parametric statistical manifolds, uncovering the patterns of the
data latent temporal variability. 'EHRtemporalVariability' is
particularly suitable for multi-modal data and categorical variables
with a high number of values, common features of biomedical data where
traditional statistical process control or time-series methods may not
be appropriate. 'EHRtemporalVariability' allows you to explore and
identify dataset shifts through visual analytics formats such as
Data Temporal heatmaps and Information Geometric Temporal (IGT) plots.
An additional 'EHRtemporalVariability' Shiny app can be used to load
and explore the package results and even to allow the use of these
functions to those users non-experienced in R coding. (S
How to cite:
Carlos Sáez (2019). EHRtemporalVariability: Delineating Temporal Dataset Shifts in Electronic Health Records. R package version 1.2.1, https://cran.r-project.org/web/packages/EHRtemporalVariability. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Complete documentation for EHRtemporalVariability
Functions, R codes and Examples using
the EHRtemporalVariability R package
Some associated functions: DataTemporalMap-class . IGTProjection-class . estimateDataTemporalMap-methods . estimateIGTProjection-methods . estimateIGTTrajectory-methods . formatDate . icd9toPheWAS . plotDataTemporalMap-methods . plotIGTProjection-methods . trimDataTemporalMap-methods .
Some associated R codes: allClasses.R . allGenerics.R . allMethods.R . estimateDataTemporalMap.R . estimateIGTTrajectory.R . formatDate.R . icd9toPheWAS.R . igtProjectionCore.R . jsdiv.R . Full EHRtemporalVariability package functions and examples
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