Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis.

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Bibliographic Details
Title: Breaking the mould, a first parse at natural language processing in aspergillosis diagnosis.
Authors: Pates KM; Department of Respiratory Medicine, King's College Hospital NHS Foundation Trust, London, UK., Shang Z; Imperial College London, London, UK., Periselneris J; Department of Respiratory Medicine, King's College Hospital NHS Foundation Trust, London, UK., Shah A; Royal Brompton and Harefield Clinical Group, Guy's and St. Thomas' NHS Foundation Trust, London, UK.; Medical Research Council (MRC) Centre of Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, UK.
Source: Journal of thoracic disease [J Thorac Dis] 2023 Jan 31; Vol. 15 (1), pp. 17-21. Date of Electronic Publication: 2023 Jan 05.
Publication Type: Editorial; Comment
Journal Info: Publisher: AME Publishing Company Country of Publication: China NLM ID: 101533916 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2072-1439 (Print) Linking ISSN: 20721439 NLM ISO Abbreviation: J Thorac Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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