Package: EHRtemporalVariability 1.2.1

Carlos Sáez

EHRtemporalVariability: Delineating Temporal Dataset Shifts in Electronic Health Records

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>.

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], Department of Biomedical Informatics, Harvard Medical School [cph]

EHRtemporalVariability_1.2.1.tar.gz
EHRtemporalVariability_1.2.1.zip(r-4.5)EHRtemporalVariability_1.2.1.zip(r-4.4)EHRtemporalVariability_1.2.1.zip(r-4.3)
EHRtemporalVariability_1.2.1.tgz(r-4.4-any)EHRtemporalVariability_1.2.1.tgz(r-4.3-any)
EHRtemporalVariability_1.2.1.tar.gz(r-4.5-noble)EHRtemporalVariability_1.2.1.tar.gz(r-4.4-noble)
EHRtemporalVariability_1.2.1.tgz(r-4.4-emscripten)EHRtemporalVariability_1.2.1.tgz(r-4.3-emscripten)
EHRtemporalVariability.pdf |EHRtemporalVariability.html
EHRtemporalVariability/json (API)
NEWS

# Install 'EHRtemporalVariability' in R:
install.packages('EHRtemporalVariability', repos = c('https://hms-dbmi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hms-dbmi/ehrtemporalvariability/issues

On CRAN:

biomedical-data-sciencebiomedical-informaticsdata-qualitydata-quality-monitoringdataset-shiftselectronic-health-recordstimevariabilityvisualization

8 exports 15 stars 2.01 score 76 dependencies 1 mentions 21 scripts 229 downloads

Last updated 5 months agofrom:d393d2adf4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:estimateDataTemporalMapestimateIGTProjectionestimateIGTTrajectoryformatDateicd9toPheWASplotDataTemporalMapplotIGTProjectiontrimDataTemporalMap

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttimechangetinytexutf8vctrsviridisviridisLitewithrxfunxtsyamlzoo

EHRtemporalVariability: Delineating temporal dataset shifts in Electronic Health Records

Rendered fromEHRtemporalVariability.Rmdusingknitr::rmarkdownon Sep 02 2024.

Last update: 2023-12-18
Started: 2019-03-01

Readme and manuals

Help Manual

Help pageTopics
Class DataTemporalMapDataTemporalMap DataTemporalMap,DataTemporalMap-class DataTemporalMap-class
Estimates 'DataTemporalMap' objects from raw dataestimateDataTemporalMap
Estimates an Information Geometric Temporal plot projectionestimateIGTProjection estimateIGTProjection,DataTemporalMap-method estimateIGTProjection,IGTProjection-method
Estimates a trajectory of the information temporal evolution in a IGT projection by fitting a cubic smoothing splineestimateIGTTrajectory
Function to transform dates into "Date" R formatformatDate
Function to transform ICD9-CM codification into PheWAS codeicd9toPheWAS
Class IGTProjectionIGTProjection IGTProjection,IGTProjection-class IGTProjection-class
Data Temporal heatmapplotDataTemporalMap plotDataTemporalMap,DataTemporalMap-method
Information Geometric Temporal plotplotIGTProjection plotIGTProjection,IGTProjection-method
Trims a 'DataTemporalMap'trimDataTemporalMap trimDataTemporalMap,DataTemporalMap-method