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Published in: Journal of Inherited Metabolic Disease 3/2018

Open Access 01-05-2018 | Phenomics

The rendering of human phenotype and rare diseases in ICD-11

Author: Christopher G. Chute

Published in: Journal of Inherited Metabolic Disease | Issue 3/2018

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Abstract

ICD-11 (International Classification of Diseases, 11th Revision) is the next major revision of the ICD by the World Health Organization (WHO). ICD-11 differs dramatically from historical versions, as it is based on an underlying semantic network of terms and meaning, called the Foundation. To function as a mutually exclusive and exhaustive statistical classification, ICD-11 creates derivative linearizations from the network that is a monohierarchy with residual categories such as Not Elsewhere Classified. ICD-11 also introduces the widespread post-coordination of terms, which allows for highly expressive representation of detailed patient descriptions. Phenotyping features are included in many subchapters or the signs and symptoms chapter. Composite phenotype descriptions of specific presentations or syndromes can be represented though post-coordination. Rare diseases are well represented in the Foundation, though not all appear in the relatively shallow linearization hierarchies.
Literature
go back to reference Baader F (2003) The description logic handbook: theory, implementation, and applications. Cambridge University Press, Cambridge, New York, xvii, 555 pp Baader F (2003) The description logic handbook: theory, implementation, and applications. Cambridge University Press, Cambridge, New York, xvii, 555 pp
go back to reference Bowker GC, Star SL (1999) Sorting things out: classification and its consequences. Inside technology. MIT Press, Cambridge, Massachusetts, xii, 377 pp Bowker GC, Star SL (1999) Sorting things out: classification and its consequences. Inside technology. MIT Press, Cambridge, Massachusetts, xii, 377 pp
go back to reference Cimino JJ (1998) Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med 37(4–5):394–403PubMedPubMedCentral Cimino JJ (1998) Desiderata for controlled medical vocabularies in the twenty-first century. Methods Inf Med 37(4–5):394–403PubMedPubMedCentral
go back to reference Conway M, Berg RL, Carrell D et al (2011) Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. AMIA Annu Symp Proc 2011:274–283PubMedPubMedCentral Conway M, Berg RL, Carrell D et al (2011) Analyzing the heterogeneity and complexity of Electronic Health Record oriented phenotyping algorithms. AMIA Annu Symp Proc 2011:274–283PubMedPubMedCentral
go back to reference Cornet R, Chute CG (2016) Health concept and knowledge management: twenty-five years of evolution. Yearb Med Inform (Suppl 1):S32–S41 Cornet R, Chute CG (2016) Health concept and knowledge management: twenty-five years of evolution. Yearb Med Inform (Suppl 1):S32–S41
go back to reference Kohler S, Vasilevsky NA, Engelstad M et al (2017) The human phenotype ontology in 2017. Nucleic Acids Res 45(D1):D865–D876CrossRefPubMed Kohler S, Vasilevsky NA, Engelstad M et al (2017) The human phenotype ontology in 2017. Nucleic Acids Res 45(D1):D865–D876CrossRefPubMed
go back to reference Mo H, Thompson WK, Rasmussen LV et al (2015) Desiderata for computable representations of electronic health records-driven phenotype algorithms. J Am Med Inform Assoc 22(6):1220–1230PubMedPubMedCentral Mo H, Thompson WK, Rasmussen LV et al (2015) Desiderata for computable representations of electronic health records-driven phenotype algorithms. J Am Med Inform Assoc 22(6):1220–1230PubMedPubMedCentral
go back to reference Pathak J, Bailey KR, Beebe CE et al (2013) Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium. J Am Med Inform Assoc 20(e2):e341–e348CrossRefPubMedPubMedCentral Pathak J, Bailey KR, Beebe CE et al (2013) Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium. J Am Med Inform Assoc 20(e2):e341–e348CrossRefPubMedPubMedCentral
Metadata
Title
The rendering of human phenotype and rare diseases in ICD-11
Author
Christopher G. Chute
Publication date
01-05-2018
Publisher
Springer Netherlands
Published in
Journal of Inherited Metabolic Disease / Issue 3/2018
Print ISSN: 0141-8955
Electronic ISSN: 1573-2665
DOI
https://doi.org/10.1007/s10545-018-0172-5

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