Abstract

The beta phase of the 11th revision of International Classification of Diseases (ICD-11) intends to accept public input through a distributed model of crowdsourcing. One of the core use cases is to create textual definitions for the ICD categories. The objective of the present study is to design, develop and evaluate approaches to support ICD-11 textual definitions authoring using Semantic Web technology. We investigated a number of heterogeneous resources related to the definitions of diseases, including the linked open data (LOD) from DBpedia, the textual definitions from the UMLS and the formal definitions of SNOMED CT. We integrated them in a Semantic Web framework (i.e. linked data in a RDF triple store), which is being proposed as a backend in a prototype platform for collaborative authoring of ICD-11 beta. We performed a preliminary evaluation on the usefulness of our approaches and discussed the potential challenges from both technical and clinical perspectives.

Highlights

  • The 11th revision of International Classification of Diseases (ICD-11) was officially launched by the World Health Organization (WHO) in March 2007 [1]

  • We investigate a number of heterogeneous resources related to the definitions of diseases, including the linked open data (LOD) from DBpedia, the textual definitions from the Unified Medical Language System (UMLS) and the formal definitions of the Systematized Nomenclature of Medicine— Clinical Terms (SNOMED CT)

  • We successfully transformed the ICD-11 contents into the Linked Data in a RDF store, which is utilized as the backend in a prototype of our proposed collaborative authoring system for ICD-11 beta project

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Summary

Introduction

The 11th revision of International Classification of Diseases (ICD-11) was officially launched by the World Health Organization (WHO) in March 2007 [1]. One of the core use cases is to create the textual definitions for each ICD category. The parameter textual definitions is described by WHO as, “Each ICD concept will be accompanied by a written definition of its descriptive characteristics. This full text definition enables human users to understand the meaning of a concept for classification, translation and other reasons [2].”. WHO has embraced a broadened set of use cases to drive ICD-11 development, including scientific consensus of clinical phenotype (definition and criteria), public health surveillance (e.g., mortality and morbidity), and clinical data aggregation [4]. There are 13 defined main parameters in the content model to describe a category in ICD.

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