Map extracted phenotype entities from clinical or biomedical text to their corresponding Human Phenotype Ontology (HPO)
~$21,000/yr est.
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Freshness
Recently enriched
Complete
63%
API
API Available
Offering: A comprehensive suite of NLP-based clinical entity recognition models and structured healthcare datasets for pharmacovigilance, clinical research, and population health analytics.
Best for: Healthcare data scientists and clinical researchers building automated pipelines for medical record de-identification and drug safety monitoring.
Get an instant price estimate based on your organization profile — seats, usage rights, and contract term.Estimated ~$21,000/yr est.
Request a sample directly from John Snow Labs.
Mapping Biomedical Ontology Terms to IDs
Results indicate that ontology ID prevalence strongly predicts accurate mapping of HPO terms to HPO IDs, GO terms to GO IDs, and protein names ...
High-Throughput Phenotyping of Clinical Text Using Large ...
High-throughput phenotyping automates the mapping of patient signs to standardized concepts, such as those in Human Phenotype Ontology (HPO), a ...
High-Throughput Phenotyping of Clinical Text Using Large ...
High-throughput phenotyping automates the mapping of patient signs to standardized ontology concepts and is essential for precision medicine.
Expected fields and columns in this data product
HPO Clinical Terminology Mapper is an alternative data product offered by John Snow Labs, available on databricks_marketplace. API access is available for programmatic integration. Vedex estimates pricing at roughly $21,000/yr (an estimate, not a vendor-published price).
Map extracted phenotype entities from clinical or biomedical text to their corresponding Human Phenotype Ontology (HPO)
John Snow Labs is a data provider vendor based in Wilmington, Delaware, USA. The model is a powerful tool for extracting SDoH entities from clinical text. It was specifically trained to identify the conditions in which people are born, grow, live, work, and age that impacts th...