2022
DOI: 10.2196/preprints.42477
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Applying Natural Language Processing to Textual Data From Clinical Data Warehouses: Systematic Review (Preprint)

Adrien Bazoge,
Emmanuel Morin,
Béatrice Daille
et al.

Abstract: BACKGROUND In recent years, health data collected during the clinical care process have been often repurposed for secondary use through clinical data warehouses (CDWs), which interconnect disparate data from different sources. A large amount of information of high clinical value is stored in unstructured text format. Natural language processing (NLP), which implements algorithms that can operate on massive unstructured textual data, has the potential to structure the data and make clini… Show more

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