AMR/data-raw/snomed.R

110 lines
4.1 KiB
R

# ==================================================================== #
# TITLE #
# Antimicrobial Resistance (AMR) Analysis #
# #
# SOURCE #
# https://gitlab.com/msberends/AMR #
# #
# LICENCE #
# (c) 2018-2020 Berends MS, Luz CF et al. #
# #
# This R package is free software; you can freely use and distribute #
# it for both personal and commercial purposes under the terms of the #
# GNU General Public License version 2.0 (GNU GPL-2), as published by #
# the Free Software Foundation. #
# #
# We created this package for both routine data analysis and academic #
# research and it was publicly released in the hope that it will be #
# useful, but it comes WITHOUT ANY WARRANTY OR LIABILITY. #
# Visit our website for more info: https://msberends.gitlab.io/AMR. #
# ==================================================================== #
library(AMR)
library(tidyverse)
# go to https://www.nictiz.nl/standaardisatie/terminologiecentrum/referentielijsten/micro-organismen/
# read the table from clipboard
snomed <- clipr::read_clip_tbl()
# snomed <- snomed %>%
# transmute(fullname = trimws(gsub("^genus", "", Omschrijving, ignore.case = TRUE)),
# snomed = as.integer(Id))
snomed <- snomed %>%
transmute(fullname = mo_name(Omschrijving),
snomed = as.integer(Id)) %>%
filter(!fullname %like% "unknown")
snomed_trans <- snomed %>%
group_by(fullname) %>%
mutate(snomed_list = list(snomed)) %>%
ungroup() %>%
select(fullname, snomed = snomed_list) %>%
distinct(fullname, .keep_all = TRUE)
microorganisms <- AMR::microorganisms %>%
left_join(snomed_trans)
# remove the NULLs, set to NA
microorganisms$snomed <- lapply(microorganisms$snomed, function(x) if (length(x) == 0) NA else x)
microorganisms <- dataset_UTF8_to_ASCII(microorganisms)
usethis::use_data(microorganisms, overwrite = TRUE)
rm(microorganisms)
# OLD ---------------------------------------------------------------------
baseUrl <- 'https://browser.ihtsdotools.org/snowstorm/snomed-ct'
edition <- 'MAIN'
version <- '2019-07-31'
microorganisms.snomed <- data.frame(conceptid = character(0),
mo = character(0),
stringsAsFactors = FALSE)
microorganisms$snomed <- ""
# for (i in 1:50) {
for (i in 1:1000) {
if (i %% 10 == 0) {
cat(paste0(i, " - ", cleaner::percentage(i / nrow(microorganisms)), "\n"))
}
mo_data <- microorganisms %>%
filter(mo == microorganisms$mo[i]) %>%
as.list()
if (!mo_data$rank %in% c("genus", "species")) {
next
}
searchTerm <- paste0(
ifelse(mo_data$rank == "genus", "Genus ", ""),
mo_data$fullname,
" (organism)")
url <- paste0(baseUrl, '/browser/',
edition, '/',
version,
'/descriptions?term=', curl::curl_escape(searchTerm),
'&mode=fullText&activeFilter=true&limit=', 250)
results <- url %>%
httr::GET() %>%
httr::content(type = "text", encoding = "UTF-8") %>%
jsonlite::fromJSON(flatten = TRUE) %>%
.$items
if (NROW(results) == 0) {
next
} else {
message("Adding ", crayon::italic(mo_data$fullname))
}
tryCatch(
microorganisms$snomed[i] <- results %>% filter(term == searchTerm) %>% pull(concept.conceptId),
error = function(e) invisible()
)
if (nrow(results) > 1) {
microorganisms.snomed <- microorganisms.snomed %>%
bind_rows(tibble(conceptid = results %>% filter(term != searchTerm) %>% pull(concept.conceptId) %>% unique(),
mo = as.character(mo_data$mo)))
}
}