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Natural Language Processing for Clinical Laboratory Data Repository Systems: Implementation and Evaluation for Respiratory Viruses

2022-11-29

Abstract excerpt

<h4>Background</h4> With the growing volume and complexity of laboratory repositories, it has become tedious to parse unstructured data into structured and tabulated formats for secondary uses such as decision support, quality assurance, and outcome analysis. However, advances in Natural Language Processing (NLP) approaches have enabled efficient and automated extraction of clinically meaningful medical concepts f...

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Literature Corpus work
60702024-4e8c-58b4-a068-ef7dc26d6cbf
DOI
10.1101/2022.11.28.22282767
Open publication

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Natural Language Processing for Clinical Laboratory Data Repository Systems: Implementation and Evaluation for Respiratory VirusesDOI 10.1101/2022.11.28.22282767
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