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Natural history of rare diseases using Natural Language Processing of narrative unstructured electronic health records: the example of Dravet syndrome

Archive ouverte | Lo Barco, Tommaso | CCSD

International audience. Objective The increasing implementation of electronic health records allows the use of advanced text‐mining methods for establishing new patient‐phenotypes and stratification, and for reveali...

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

Archive ouverte | Barco, Tommaso, Lo | CCSD

International audience. 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 su...

Deep phenotyping unstructured data mining in an extensive pediatric database to unravel a common KCNA2 variant in neurodevelopmental syndromes

Archive ouverte | Hully, Marie | CCSD

International audience. PurposeElectronic health records are gaining popularity to detect and propose interdisciplinary treatments for patients with similar medical histories, diagnoses, and outcomes. These files ar...

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