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Annals of Medicine Volume 54, 2022 - Issue 1
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Physical Medicine & Rehabilitation

Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing: a proof- of- concept

Carel G. M. Meskersa Department of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Amsterdam, The NetherlandsCorrespondence[email protected]
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Sabina van der Veenb Department of Ethics, Law and Humanities, Amsterdam University Medical Centers, Amsterdam, The NetherlandsView further author information
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Jenia Kimc Computational Lexicology and Terminology Lab, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsView further author information
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Caroline J. W. Meskersa Department of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Amsterdam, The NetherlandsView further author information
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Quirine T. S. Smitc Computational Lexicology and Terminology Lab, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsView further author information
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Stella Verkijkc Computational Lexicology and Terminology Lab, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsView further author information
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Edwin Geleijna Department of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Amsterdam, The NetherlandsView further author information
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Guy A. M. Widdershovenb Department of Ethics, Law and Humanities, Amsterdam University Medical Centers, Amsterdam, The NetherlandsView further author information
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Piek T. J. M. Vossenc Computational Lexicology and Terminology Lab, Faculty of Humanities, Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsView further author information
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Marike van der Leedena Department of Rehabilitation Medicine, Amsterdam University Medical Centers, Amsterdam Movement Sciences, Amsterdam, The NetherlandsView further author information
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Pages 235-243 | Received 09 Sep 2021, Accepted 29 Dec 2021, Published online: 18 Jan 2022

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