Towards an ontology for psychosis

Jay (Subbarao) Kola; Jonathan Harris; Stephen Lawrie; Alan Rector; Carol Goble; Maryann Martone

doi:10.1016/j.cogsys.2008.08.005

Towards an ontology for psychosis

Jay (Subbarao) Kola, Jonathan Harris, Stephen Lawrie, Alan Rector, Carol Goble, Maryann Martone

Research output: Contribution to journal › Article › peer-review

Abstract

There is a pressing need for data interoperability in neuroscience especially in mental health and psychiatric research. Heterogeneity of data in the domain is a combination of a plethora of assessment methods and two clinical classification systems with no formal method of interconversion. Ontologies with their formal logical basis have been successfully used to achieve interoperability in other fields of biology. We discuss the need for an ontology in the domain of psychosis and propose a methodology for building such an ontology. We outline the various factors that are important for building a unifying ontology and how this might serve as a good start for building better classification systems in psychiatry. © 2008 Elsevier B.V.

Original language	English
Pages (from-to)	42-52
Number of pages	10
Journal	Cognitive Systems Research
Volume	11
Issue number	1
DOIs	https://doi.org/10.1016/j.cogsys.2008.08.005
Publication status	Published - Mar 2010

Keywords

Classification systems
Data integration
DSM-IV
ICD-10
Interoperability
Knowledge representation in psychiatry
Psychosis ontology

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10.1016/j.cogsys.2008.08.005

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abstract = "There is a pressing need for data interoperability in neuroscience especially in mental health and psychiatric research. Heterogeneity of data in the domain is a combination of a plethora of assessment methods and two clinical classification systems with no formal method of interconversion. Ontologies with their formal logical basis have been successfully used to achieve interoperability in other fields of biology. We discuss the need for an ontology in the domain of psychosis and propose a methodology for building such an ontology. We outline the various factors that are important for building a unifying ontology and how this might serve as a good start for building better classification systems in psychiatry. {\textcopyright} 2008 Elsevier B.V.",

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AU - Kola, Jay (Subbarao)

AU - Harris, Jonathan

AU - Lawrie, Stephen

AU - Rector, Alan

AU - Goble, Carol

AU - Martone, Maryann

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AB - There is a pressing need for data interoperability in neuroscience especially in mental health and psychiatric research. Heterogeneity of data in the domain is a combination of a plethora of assessment methods and two clinical classification systems with no formal method of interconversion. Ontologies with their formal logical basis have been successfully used to achieve interoperability in other fields of biology. We discuss the need for an ontology in the domain of psychosis and propose a methodology for building such an ontology. We outline the various factors that are important for building a unifying ontology and how this might serve as a good start for building better classification systems in psychiatry. © 2008 Elsevier B.V.

KW - Classification systems

KW - Data integration

KW - DSM-IV

KW - ICD-10

KW - Interoperability

KW - Knowledge representation in psychiatry

KW - Psychosis ontology

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DO - 10.1016/j.cogsys.2008.08.005

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VL - 11

SP - 42

EP - 52

JO - Cognitive Systems Research

JF - Cognitive Systems Research

IS - 1

ER -

Towards an ontology for psychosis

Abstract

Keywords

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