Disease Ontology

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Disease Ontology[edit | edit source]

The Disease Ontology (DO) is a standardized ontology for human diseases, which is used in the annotation and analysis of health-related data. It provides a comprehensive and hierarchical representation of diseases, which can be used to facilitate the integration, analysis, and interpretation of diverse types of health-related data.

Overview[edit | edit source]

The Disease Ontology was developed to provide a standardized vocabulary for human diseases, which can be used to facilitate the integration, analysis, and interpretation of diverse types of health-related data. It is based on the principles of the ontology in information science, which is a formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts.

The Disease Ontology is organized hierarchically, with diseases grouped into categories based on their etiology, affected body system, and other characteristics. This hierarchical organization allows for the systematic classification and analysis of diseases, and facilitates the integration of diverse types of health-related data.

Applications[edit | edit source]

The Disease Ontology is used in a variety of applications, including the annotation of genomic data, the analysis of patient data, and the development of clinical decision support systems. It is also used in biomedical research to facilitate the integration and analysis of diverse types of data, including genomic data, proteomic data, and clinical data.

See also[edit | edit source]

References[edit | edit source]



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Contributors: Prab R. Tumpati, MD