This data package contains information on Structured Product Labeling (SPL) Terminology for SPL validation procedures..
~$5,000/yr est.
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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 ~$5,000/yr est.
Request a sample directly from John Snow Labs.
Benchmarking Regulatory and Clinical Reasoning on FDA ...
We preprocess each drug label by parsing it into section-level passages using subheaders as delimiters, where every passage is assigned a unique ...
PVLens: Enhancing Pharmacovigilance Through ...
by JL Painter · 2025 · Cited by 4 — We introduce PVLens, an automated system that extracts labeled safety information from FDA Struc- tured Product Labels (SPLs) and maps terms to ...
Automatically Labeling Clinical Trial Outcomes: A Large ...
To enhance outcome label quality and reliability, we manually annotated a dataset of clinical trials conducted between 2020 and 2024. Results The CTO benchmark ...
Expected fields and columns in this data product
FDA Drug Product Labels Validation Method 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 $5,000/yr (an estimate, not a vendor-published price).
This data package contains information on Structured Product Labeling (SPL) Terminology for SPL validation procedures..
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...