CRAN/E | EHRtemporalVariability

EHRtemporalVariability

Delineating Temporal Dataset Shifts in Electronic Health Records

Installation

About

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. (Sáez et al. 2020) doi:10.1093/gigascience/giaa079.

github.com/hms-dbmi/EHRtemporalVariability

Key Metrics

Version 1.2.1
R ≥ 4.3.0
Published 2024-01-26 84 days ago
Needs compilation? no
License Apache License 2.0
License File
CRAN checks EHRtemporalVariability results

Downloads

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Maintainer

Maintainer

Carlos Sáez

carsaesi@upv.es

Authors

Carlos Sáez

aut / cre

Alba Gutiérrez-Sacristán

aut

Isaac Kohane

aut

Juan M García-Gómez

aut

Paul Avillach

aut

Biomedical Data Science Lab
Universitat Politècnica de València

cph

(Spain)

Department of Biomedical Informatics
Harvard Medical School

cph

Material

README
NEWS
Reference manual
Package source

Vignettes

EHRtemporalVariability

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrelnot available

x86_64

Old Sources

EHRtemporalVariability archive

Depends

R ≥ 4.3.0
dplyr

Imports

plotly
zoo
xts
lubridate
RColorBrewer
viridis
scales
methods
MASS

Suggests

knitr
rmarkdown
devtools
BiocStyle
dbscan
webshot
httr