Methods Inf Med 1995; 34(04): 345-351
DOI: 10.1055/s-0038-1634611
Original Article
Schattauer GmbH

Automated Coding of Patient Discharge Summaries Using Conceptual Graphs

D. Delamarre
1   Laboratoire Informatique Médicale, Faculté de Médecine, Université de Rennes I, France
,
A. Burgun
1   Laboratoire Informatique Médicale, Faculté de Médecine, Université de Rennes I, France
,
L. P. Seka
1   Laboratoire Informatique Médicale, Faculté de Médecine, Université de Rennes I, France
,
P. Le Beux
1   Laboratoire Informatique Médicale, Faculté de Médecine, Université de Rennes I, France
› Institutsangaben
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Publikationsverlauf

Publikationsdatum:
16. Februar 2018 (online)

Abstract:

In medicine, as in other domains, indexing and classification is a natural human task which is used for information retrieval and representation. In the medical field, encoding of patient discharge summaries is still a manual time-consuming task. This paper describes an automated coding system of patient discharge summaries from the field of coronary diseases into the ICD-9-CM classification. The system is developed in the context of the European AIM MENELAS project, a natural-language understanding system which uses the conceptual-graph formalism. Indexing is performed by using a two-step processing scheme; a first recognition stage is implemented by a matching procedure and a secondary selection stage is made according to the coding priorities. We show the general features of the necessary translation of the classification terms in the conceptual-graph model, and for the coding rules compliance. An advantage of the system is to provide an objective evaluation and assessment procedure for natural-language understanding.

 
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