Title: Medication Adherence: Commonly Used Definitions
Author: Xiangyang Ye, Pharmacotherapy Outcomes Research Center,
Description: Medication Adherence: Commonly Used Definitions

Title: Extraction of Medication Information from Clinical Text
c(person("Hannah", "Weeks", role = c("aut", "cre"),
Description: Function and support for medication and dosing information extraction from free-text clinical notes. Medication entities that can be extracted include drug name, strength, dose amount, dose, frequency, intake time, and time of last dose.
Packaged: 2019-06-28 14:57:01 UTC; hannahweeks

Packaged: 2020-07-30 22:28:48 UTC; hannahweeks

Description: Function and support for medication and dosing information extraction from free-text clinical notes. Medication entities for the basic medExtractR implementation that can be extracted include drug name, strength, dose amount, dose, frequency, intake time, dose change, and time of last dose. The extended medExtractR_tapering implementation is intended to extract dosing information for more tapering schedules, which are far more complex. The tapering extension allows for the extraction of additional entities including dispense amount, refills, dose schedule, time keyword, transition, and preposition.
Suggests: knitr, ggplot2, rmarkdown, markdown
Packaged: 2021-06-05 17:47:25 UTC; leenachoi

Description: Function and support for medication and dosing information extraction from free-text clinical notes. Medication entities for the basic medExtractR implementation that can be extracted include drug name, strength, dose amount, dose, frequency, intake time, dose change, and time of last dose. The basic medExtractR is outlined in Weeks, Beck, McNeer, Williams, Bejan, Denny, Choi (2020) <doi: 10.1093/jamia/ocz207>. The extended medExtractR_tapering implementation is intended to extract dosing information for more tapering schedules, which are far more complex. The tapering extension allows for the extraction of additional entities including dispense amount, refills, dose schedule, time keyword, transition, and preposition.
Suggests: knitr, ggplot2, rmarkdown, markdown, parallel