dxpr-package: emr : A health data analysis tool of electric medical record
In DHLab-CGU/emr: An analysis tool for diagnosis and procedure records
dxpr-package R Documentation
emr : A health data analysis tool of electric medical record
Description
emr provides mechanisms to analyze, integrate and visualize clinical data, including diagnosis and procedure records. Preparing a research-ready dataset from EHRs is a complex and time-consuming task and requires substantial data science skills.
Details
It has four main sections:
Code standardization: Transform the diagnostic and procedure codes into uniform format before the integration process.
Data integration: Group EHR diagnostic/procedure codes with different strategies, after code grouping, emr provide functions for querying matching cases, splitting data and calculating condtion era by grouped categories of each patients.
Exploratory data analysis (EDA) preparation: Convert long format of grouped data into wide format which is fit to others analytical and plotting packages.
Visualization: Provide overviews for diagnoses standardization and data integration, such as the differences of comorbidities between case and control groups, and the most common diagnoses which are fail to be grouped or standardized.
To learn more about emr, start with the vignettes:
'browseVignettes(package = "emr")'
Author(s)
Maintainer: Yi-Ju Tseng yjtseng@mail.cgu.edu.tw
Authors:
Hsiang-Ju Chiu aibabi3@gmail.com
Chun-Ju Chen ju.chin.0902@mail.cgu.edu.tw
See Also
Useful links:
DHLab-CGU/emr documentation built on Sept. 2, 2023, 9:16 p.m.
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| dxpr-package | R Documentation |
emr : A health data analysis tool of electric medical record
Description
emr provides mechanisms to analyze, integrate and visualize clinical data, including diagnosis and procedure records. Preparing a research-ready dataset from EHRs is a complex and time-consuming task and requires substantial data science skills.
Details
It has four main sections:
Code standardization: Transform the diagnostic and procedure codes into uniform format before the integration process.
Data integration: Group EHR diagnostic/procedure codes with different strategies, after code grouping, emr provide functions for querying matching cases, splitting data and calculating condtion era by grouped categories of each patients.
Exploratory data analysis (EDA) preparation: Convert long format of grouped data into wide format which is fit to others analytical and plotting packages.
Visualization: Provide overviews for diagnoses standardization and data integration, such as the differences of comorbidities between case and control groups, and the most common diagnoses which are fail to be grouped or standardized.
To learn more about emr, start with the vignettes: 'browseVignettes(package = "emr")'
Author(s)
Maintainer: Yi-Ju Tseng yjtseng@mail.cgu.edu.tw
Authors:
Hsiang-Ju Chiu aibabi3@gmail.com
Chun-Ju Chen ju.chin.0902@mail.cgu.edu.tw
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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