Development of an Automatic Coding System for Digestive Endoscopies
| Autor: | Iris, Ternois, Jean-Baptiste, Escudie, Robert, Benamouzig, Catherine, Duclos |
|---|---|
| Přispěvatelé: | Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé (LIMICS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Université Sorbonne Paris Nord |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Research Report
MESH: Humans Clinical Coding MESH: Clinical Coding Endoscopy Gastrointestinal [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] MESH: Endoscopy Gastrointestinal Machine Learning Medical Terminology MESH: France MESH: Natural Language Processing Automation MESH: Automation Humans MESH: Research Report [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie France Automatic Coding Natural Language Processing |
| Zdroj: | Studies in Health Technology and Informatics Studies in Health Technology and Informatics, IOS Press, 2021, 255, pp.107-111 |
| ISSN: | 0926-9630 1879-8365 |
| Popis: | International audience; Digestive endoscopies, along with all medical procedures in France are coded with the CCAM. This task is done by the physicians, is time-consuming and requires a good knowledge of the terminology besides a medical knowledge. This method offers an automatic coding of endoscopic procedures from free-text reports. Thanks to a supervised learning method, the reports are coded with an average precision and recall of 0.92 on a 1639 texts corpus. |
| Databáze: | OpenAIRE |
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