Tokeniserad produktinformation för centralt godkända läkemedel inom EU (extraherad 2022-05-03) Tokenized product information for centrally approved medicines within EU (extracted May 3, 2022) 2022-157-1-1 https://doi.org/10.57804/ggrw-hr06 Swedish National Data Service Svensk nationell datatjänst Landing page Tokeniserad produktinformation för centralt godkända läkemedel inom EU (extraherad 2022-05-03) Tokenized product information for centrally approved medicines within EU (extracted May 3, 2022) 2022-157-1-1 https://doi.org/10.57804/ggrw-hr06 10.1371/journal.pone.0275386 Westman, Gabriel Westman, Gabriel Swedish National Data Service Svensk nationell datatjänst Landing page Information Science Informationsvetenskap LINGUISTICS LINGVISTIK Artificial Intelligence Artificiell intelligens Pharmacy Farmaci The text corpus was compiled on May 3, 2022, by scripted downloading of all available English language product information files for all centrally approved medicinal products within the EU, from the European Medicines Agency website. Package Leaflet (PL) and Summary of product characteristics (SmPC) documents for each medicinal product, excluding multiplicate documents for medicinal products with more than one strength or pharmaceutical preparation, were used. The PDF files were scraped using the pdfplumber version 0.6.1 package in Python 3.8.10 to extract all text except page numbering, headers, and footers. Line breaks and special characters (excluding punctuation characters) were removed, and punctuation was added to sentences where this was missing (such as headings) to avoid false aggregation. All paragraphs were tokenized on a sentence level using the Natural Language Toolkit (NLTK) version 3.7 tokenizer This database contains sentence-level tokenized product infomation from all centrally approved medicinal products within the EU (May 3, 2022) including Summary of product characteristics (SmPC) and Package leaflet (PL) documents. A total of 1258 medicinal products were initially included, of which 5 were subsequently excluded due to document compatibility issues. From these, a total of 783 K sentences were extracted from PL and SmPC documents. Tokeniserad produktinformation för centralt godkända läkemedel inom EU. Se engelsk beskrivning för detaljer om hur data kompilerats och bearbetats. Databasen innehåller tokeniserad produktinformation på meningsnivå, extraherad från alla centralt godkända läkemedel inom EU (2022-05-03). Se engelskspråkig beskrivning för ytterligare detaljer. All centrally approved medicinal products within EU Samtliga centralt godkända läkemedel inom EU Text Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess Bergman E, Sherwood K, Forslund M, Arlett P, Westman G (2022) A natural language processing approach towards harmonisation of European medicinal product information. PLoS ONE 17(10): e0275386. https://doi.org/10.1371/journal.pone.0275386 Bergman E, Sherwood K, Forslund M, Arlett P, Westman G (2022) A natural language processing approach towards harmonisation of European medicinal product information. PLoS ONE 17(10): e0275386. https://doi.org/10.1371/journal.pone.0275386 10.1371/journal.pone.0275386 2022