Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome

Improving early diagnosis of rare diseases using Natural Language Processing in unstructured medical records: an illustration from Dravet syndrome

Abstract Background The growing use of Electronic Health Records (EHRs) is promoting the application of data mining in health-care. A promising use of big data in this field is to develop models to support early diagnosis and to establish natural history. Dravet Syndrome (DS) is a rare developmental...

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Bibliographic Details
Main Authors: Tommaso Lo Barco, Mathieu Kuchenbuch, Nicolas Garcelon, Antoine Neuraz, Rima Nabbout
Format: Article
Language:English
Published: BMC 2021-07-01
Series:Orphanet Journal of Rare Diseases
Subjects:
Data mining
Natural Language Processing
Dravet syndrome
Rare Diseases
Early diagnosis
Online Access:https://doi.org/10.1186/s13023-021-01936-9

Internet

https://doi.org/10.1186/s13023-021-01936-9

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