Delineating Reference Changes in Electronic Health Records over Time

The 'EHRtemporalVariability' package contains functions to delineate reference changes over time 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. Results can be explored 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.


EHRtemporalVariability is an R package for delineating reference changes in Eletronic Health Records over time

What is this repository for?

The EHRtemporalVariability package contains functions to delineate reference changes over time 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. Results can be explored through visual analytics formats such as Data Temporal heatmaps and Information Geometric Temporal (IGT) plots 1-3. 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.

Package' Status

  • Version: 1.0
  • Authors: Carlos Sáez (UPV-HMS), Alba Gutiérrez-Sacristán (HMS), Paul Avillach (HMS), Juan M García-Gómez (UPV)
  • Maintainer: Carlos Saez (UPV-HMS)

Copyright: 2019 - Biomedical Data Science Lab, Universitat Politècnica de València, Spain (UPV) - Department of Biomedical Informatics, Harvard Medical School (HMS)

Documentation

Citation

A paper describing the EHRtemporalVariability package has been submitted. If you use EHRtemporalVariability, please cite:

Sáez C, Gutiérrez-Sacristán A, Avillach P, García-Gómez JM. EHRtemporalVariability: delineating unknown reference changes in Electronic Health Records over time. (Submitted)

The original methods and case studies using the approach are described here:

Download

Download the latest development code of EHRtemporalVariability from GitHub using devtools with

devtools::install_github("hms-dbmi/EHRtemporalVariability")

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("EHRtemporalVariability")

1.0.1 by Carlos Sáez, a month ago


http://github.com/hms-dbmi/EHRtemporalVariability


Browse source code at https://github.com/cran/EHRtemporalVariability


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 (Spain) [cph] , Department of Biomedical Informatics , Harvard Medical School [cph]


Documentation:   PDF Manual  


Apache License 2.0 | file LICENSE license


Imports plotly, shiny, zoo, xts, lubridate, RColorBrewer, viridis, scales, methods

Depends on dplyr

Suggests knitr, rmarkdown, devtools, BiocStyle


See at CRAN