The tutorial series demonstrate how to use the EHR2PKPD with some examples in EHR package.
Note:
As the R package, EHR, is still in active development, we recommend installing from our GitHub repository with the following command: devtools::install_github(‘choileena/EHR/EHR/’)
Some workshops are still under development.
This tutorial describes how to obtain drug dosing information from unstructured clinical notes using Extract-Med module in the system.
This tutorial describes how to build longitudinal medication dose data from the raw output of an NLP system using the Pro-Med-NLP module.
This tutorial describes how to process demographic data using Pro-Demographic module in the system.
This tutorial describes how to process drug concentration data using Pro-Drug Level module in the system.
This tutorial describes how to process laboratory data using Pro-Laboratory module in the system.
This tutorial describes how to process structured medication data, especially focusing on intravenously given dose data.
This tutorial describes how to process structured medication data, especially focusing on e-prescription data.
This tutorial describes the PK data building procedure in the EHR2PKPD for medications that are typically orally administrated. It demonstrates how to quickly build PK data using Build-PK-Oral when drug dose data are provided by users or generated from unstructured clinical notes using extracted dosing information with the Extract-Med module and processed with the Pro-Med-NLP module in the system.
This tutorial describes a simple PK data building procedure in the EHR2PKPD for medications that are typically intravenously administrated. It demonstrates how to quickly build PK data using Build-PK-IV without using the data processing modules when cleaned data for concentration, drug dose, demographic and laboratory datasets are already available in an appropriate data form.
This tutorial describes a comprehensive PK data building procedure in the EHR2PKPD for medications that are typically intravenously administrated. It demonstrates how to utilize several data processing modules (e.g., Pro-Demographic, Pro-Med-Str, Pro-Drug Level, Pro-Laboratory) to standardize and combine more complex datasets when cleaned data are not available, and then build PK data using Build-PK-IV.
Software performing population PK/PD modeling typically requires specific data format for the key variables. Most of these software follows the data requirement for NONMEM, as NONMEM has been used for a long time and considered as the gold standard software to perform population PK/PD analysis. We describe two most commonly used data format in population PK/PD modeling.
This tutorial describes an example data format typically used in population PK modeling for orally administered medications.
This tutorial describes an example data format typically used in population PK modeling for intravenously administrated medications.
Under development.
If you see mistakes or want to suggest changes, please create an issue on the source repository.