The International Classification of Diseases (ICD) is a standard for categorizing physical
conditions, which has been widely used for analyzing clinical data and monitoring health …

This paper reports on Task 1 of the 2017 CLEF eHealth evaluation lab which extended the
previous information extraction tasks of ShARe/CLEF eHealth evaluation labs. The task …

Background Despite a wide adoption of English in science, a significant amount of
biomedical data are produced in other languages, such as French. Yet a majority of natural …

Automatic ICD-10 coding is an unresolved challenge in terms of Machine Learning tasks.
Despite hospitals generating an enormous amount of clinical documents, data is …

Since 2012, the CLEF eHealth initiative has aimed to gather researchers working on health
text analytics and to provide them with annual shared tasks. This chapter reports on …

Recent healthcare applications of natural language processing involve multi-label
classification of health records using the International Classification of Diseases (ICD). While …

Clinical coding is an administrative function in hospitals, which involves the transformation of
clinical notes into structured codes that can be analyzed statistically. Coding data has a …

This paper describes the systems proposed by LSI UNED team in Task 1 of the CLEF
eHealth 2018 challenge. The main objective is the automatic coding of death certificates in …

This paper addresses the problem of correcting medical coding errors with respect to some
coding recommendations. The problem consists in clustering medical codings and …

En la actualidad, la cantidad de recursos que se destinan a la codificación de informes
médicos es enorme. Con la reciente implantación del estándar CIE-10 en el sistema …