Package: constellation 0.2.0

Mark Sendak

constellation: Identify Event Sequences Using Time Series Joins

Examine any number of time series data frames to identify instances in which various criteria are met within specified time frames. In clinical medicine, these types of events are often called "constellations of signs and symptoms", because a single condition depends on a series of events occurring within a certain amount of time of each other. This package was written to work with any number of time series data frames and is optimized for speed to work well with data frames with millions of rows.

Authors:Mark Sendak [aut, cre]

constellation_0.2.0.tar.gz
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constellation.pdf |constellation.html
constellation/json (API)

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

Peer review:

Bug tracker:https://github.com/marksendak/constellation/issues

Datasets:
  • labs - Synthesized lab results for cohort of 100 synthetic patients
  • orders - Synthesized blood culture orders for cohort of 100 synthetic patients
  • vitals - Synthesized vital sign measurements for cohort of 100 synthetic patients

On CRAN:

electronic-health-recordelectronic-health-recordshealthcarepatientstimeseries

4.68 score 5 stars 19 scripts 239 downloads 5 exports 1 dependencies

Last updated 6 years agofrom:7ac1941b6d. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-winOKNov 19 2024
R-4.5-linuxOKNov 19 2024
R-4.4-winOKNov 19 2024
R-4.4-macOKNov 19 2024
R-4.3-winOKNov 19 2024
R-4.3-macOKNov 19 2024

Exports:bundleconstellateconstellate_criteriaincidentsvalue_change

Dependencies:data.table

Using Constellation to Identify Sepsis

Rendered fromidentify_sepsis.Rmdusingknitr::rmarkdownon Nov 19 2024.

Last update: 2018-03-27
Started: 2017-09-11