Description Usage Format Details References Examples
This lookup table is used in the final stage of standardising dosage text
and extracting structured information. It is used after multiwords
but instead of replacing a phrase, it extracts components of the dose.
The rules in this table are applied one after the other in ascending order of
the order
column.
1 |
A data frame with observations on the following 15 variables.
words
character; pattern phrase
qty
character; dose quantity or regular expression component for extracting quantity from the matched text.
units
a character vector
freq
a character vector
tot
a character vector
priority
a numeric vector
max
a character vector
time
a character vector
change
a logical vector
choice
a character vector
doubledose
a character vector
duration
a character vector
comment
a character vector
category
a character vector
order
a numeric vector
The structured elements can be extracted using regular expression symbols, e.g. \1
Shah AD, Martinez C. An algorithm to derive a numerical daily dose from unstructured text dosage instructions. Pharmacoepidemiol Drug Saf 2006; 15(3): 161-166. doi: 10.1002/pds.1151 http://onlinelibrary.wiley.com/doi/10.1002/pds.1151/
1 2 3 4 | data("patterns")
# Convert to patterns dictionary for analysis
patterns <- as.drugdose_patterns(patterns)
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