Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date RangeNo dataCoding SystemSNOMED CT codesData SourcesCollectionsNo dataTagsNo dataOntologyNo dataDefinition
Implementation
No dataImplementation
Clinical Codelist
PUBLISHED
Publication
Related publications
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Lear, R., Tao, R., Carenzo, C. et al. Identifying high-risk patient clusters for falls using unsupervised machine learning on linked primary and secondary care electronic health record data. Sci Rep (2026).
(DOI: 10.1038/s41598-026-55527-4)
Citation Example
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API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH4401/version/9620/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of Phenotype
phenotype_details = client$phenotypes$get_detail(
'PH4401',
version_id=9620
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get details of Phenotype
phenotype_detail = client.phenotypes.get_detail(
'PH4401',
version_id=9620
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH4401/version/9620/export/codes/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of Phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH4401',
version_id=9620
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of Phenotype
phenotype_codelist = client.phenotypes.get_codelist(
'PH4401',
version_id=9620
)Version History