DailyMed.jl

National Library of Medicine's DailyMed service RESTful interface functions for Julia

using DailyMed

a, meta = rxcuis(extra = ["page" => "725"])
println(a[1])  # => (rxcui = "1365899", rxstring = "{21 (ETHINYL ESTRADIOL 0.035 MG / NORGESTIMATE 0.25 MG ORAL TABLET) / 7 (INERT INGREDIENTS 1 MG ORAL TABLET) } PACK [MONO-LINYAH 28 DAY]", rxtty = "BPCK")

a, meta = history("9aa7140c-012c-4ea6-866d-4732e915dab6")
println(first(a).spl_version)  # "3"

using Downloads, ImageView, Images, RxNav
id = RxNav.rcui("phenytoin")
setid = first([x.setid for x in spls(extra = ["rxcui" => id])[1] if contains(x.title, "PARKE-DAVIS")])
url = media(setid)[1][1].url
Downloads.download(url, "phenytoin.jpg")
img = load("phenytoin.jpg")
imshow(img)

Given a resource which is either an RxCUI id or the name of a drug, return a vector of all of the DailyMed Set ID identifiers for the resouce. These can then be used for various functions that need a Set ID argument, including the functions history, media, ndcs, and packaging.

Note: Most of the following functions take optional arguments. For details of the values for such arguments you should consult the NLM documentation at https://dailymed.nlm.nih.gov/dailymed/app-support-web-services.cfm.

If the function takes an optional argument called extra, this means that the function's optional argument extra should be provided as a Dict or as a Vector of Pairs, with the keys to the Dict being the label for the optional term and the values for that key as either a string or a vector of strings to be assigned to that value in the final URL request. For example, extra = Dict("sources" => ["ACTIVE", "OBSOLETE"], "toReturn" => 25, page => 3) would be translated to "&sources=ACTIVE+OBSOLETE&toReturn=25&page=3" in the REST call request string sent by HTTP.

All functions return both data and metadata as a tuple (data, metadata), so you should reference the data returned as classes[1] in the call classes = drugclasses(). In addition, the data is generally returned as a vector of Strings or NamedTuples, so to reference the first class returned from drugclasses() you would need to write class = drugclasses()[1][1].

The Julia module uses the same function names used by the DailyMed REST API, as seen at

Get and partially parse data from the url formed by BASEURL * restfunc *`` expanded extra` args

Returns a 2-tuple: (an EzXML parsed root document, and a Dict of meta data)

Returns a list of all NDA numbers.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "application_number", "marketing_category_code", "setid", "pagesize", "page"

Returns a 2-tuple: (an vector of Strings of returns application numbers, and a Dict of meta data)

Returns a list of all drug classes associated with at least one SPL in the Pharmacologic Class Indexing Files.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "drug_class_code", "drugclass_coding_system", "code_class_type", "class_name", "unii_code", "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(name, code), and a Dict of meta data)

Returns a list of all drug names. A very large string vector is returned, and the metadata

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "name_type", "manufacturer", "pagesize", "page"

Returns a 2-tuple: (a String vector of names, and a Dict of meta data)

Returns a list of all NDC codes.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "pagesize" or "page"

Returns a 2-tuple: (a String vector of codes, and a Dict of meta data)

Returns a list of all product-level RxCUIs.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "rxtty", "rxstring", "rxcui", "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(rxcui, rxstring, rxtty), and a Dict of meta data)

Returns a list of all SPLs.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "application_number", "boxed_warning", "dea_schedule_code", "doctype", "drug_class_code", "drugclass_coding_system", "drug_name", "name_type", "labeler", "manufacturer", "marketing_category_code", "ndc", "published_date", "published_date_comparison", "rxcui", "setid", "unii_code", "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(setid, spl_version, published_date), and a Dict of meta data)

Returns an 2-tuple of the SPL document for specific SET ID, and a (blank) meta dict.

Returns version history for specific SET ID.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(spl_version, published_date), and a Dict of meta data)

Returns links to all media for specific SET ID.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(name, mime_type, url), and a Dict of meta data)

Returns all ndcs for specific SET ID.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "pagesize", "page"

Returns a 2-tuple: (a String vector of NDC codes, and a Dict of meta data)

Return the XML string for the packaging of the item with the given setid. The packaging XML is highly variable in labeling and may be deeply nested, so an array or tuple is not computed, but instead the XML itself is returned.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "pagesize", "page"

Returns a 2-tuple: (a string of the XML returned, and a Dict of meta data)

Returns a list of all UNIIs.

extra is optional. If provided it should be a Dict or list of string Pairs, and can be "active_moiety", "drug_class_code", "drug_class_coding_system", "rxcui", "unii_code", "pagesize", "page"

Returns a 2-tuple: (a vector of Tuples(unii_code, active_moiety), and a Dict of meta data)

You may install the package from Github in the usual way:

# press ] to go to Pkg mode

pkg> add DailyMed

Or, to install the current master copy:

using Pkg
Pkg.add("http://github.com/wherrera10/DailyMed.jl")