This data package contains information about the drugs and chemicals that contribute to certain symptoms or diseases. ..
~$12,000/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 ~$12,000/yr est.
Request a sample directly from John Snow Labs.
A Hierarchical Hypergraph Framework for Drug–Gene– ...
HyperADRs is a gene-aware framework for predicting adverse drug reactions (ADRs) at the level of drug–gene–ADR triads (Fig. 1). Starting from ...
HODDI: A Dataset of High-Order Drug-Drug Interactions for ...
The HODDI dataset structure facilitates the analysis of higher-order relationships between drug combinations and their adverse effects, enabling ...
An ADR Prediction Model based on Federated Learning †
FAERS is a publicly accessible database maintained by the U.S. FDA. It documents adverse event reports related to drugs and medical devices, ...
Expected fields and columns in this data product
Adverse Drug And Product Reaction 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 $12,000/yr (an estimate, not a vendor-published price).
This data package contains information about the drugs and chemicals that contribute to certain symptoms or diseases. ..
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...