Artificial Intelligence Rheumatology Consultant System Ontology (RRID:SCR_010274)Copy Citation Copied
URL: http://purl.bioontology.org/ontology/AI-RHEUM
Proper Citation: Artificial Intelligence Rheumatology Consultant System Ontology (RRID:SCR_010274)
Description: Ontology used for the diagnosis of rheumatologic diseases. AI/RHEUM contains findings, such as clinical signs, symptoms, laboratory test results, radiologic observations, tissue biopsy results, and intermediate diagnosis hypotheses. Findings and hypotheses, which include definitions, are used to reach diagnostic conclusions with definite, probable, or possible certainty. AI/RHEUM is used by clinicians and informatics researchers.
Abbreviations: AI-RHEUM
Resource Type: controlled vocabulary, data or information resource, ontology
Keywords: umls
Related Condition: Rheumatologic disease
Resource Name: Artificial Intelligence Rheumatology Consultant System Ontology
Resource ID: SCR_010274
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
