Literature DB >> 30306917

Development of an Automatic Coding System for Digestive Endoscopies.

Iris Ternois1, Jean-Baptiste Escudie1, Robert Benamouzig1, Catherine Duclos1.   

Abstract

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.

Keywords:  Automatic Coding; Machine Learning; Medical Terminology; Natural Language Processing

Mesh:

Year:  2018        PMID: 30306917

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Conversion of Automated 12-Lead Electrocardiogram Interpretations to OMOP CDM Vocabulary.

Authors:  Sunho Choi; Hyung Joon Joo; Yoojoong Kim; Jong-Ho Kim; Junhee Seok
Journal:  Appl Clin Inform       Date:  2022-09-21       Impact factor: 2.762

2.  Natural language processing algorithms for mapping clinical text fragments onto ontology concepts: a systematic review and recommendations for future studies.

Authors:  Martijn G Kersloot; Florentien J P van Putten; Ameen Abu-Hanna; Ronald Cornet; Derk L Arts
Journal:  J Biomed Semantics       Date:  2020-11-16
  2 in total

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