preposition_vals

A dictionary with preposition expressions. Such expressions often represent
a relationship with an adjacent entity. Since most expressions in this
dictionary are very short, we require word boundaries (any character other
than a letter or number) to appear on either side of the expression. Example
expressions include "for", "to", "until", and "in".

datasets

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.

Leena Choi

medExtractR

Extraction of Medication Information from Clinical Text

Cole Beck

Hannah Weeks

preposition_vals function

A data frame with preposition expressions (exact and/or regular expressions).<dl class="dl-horizontal">
 <dt>expr</dt><dd>A character vector, expressions to consider as preposition.</dd>
</dl>

Format

Keywords Specifying Preposition — preposition_vals

A data frame with preposition expressions (exact and/or regular expressions).<dl class='dl-horizontal'>
 <dt>expr</dt><dd>A character vector, expressions to consider as preposition.</dd>
</dl>

preposition_vals: Keywords Specifying Preposition

Description

Usage

Arguments

Format

Examples