This data package contains dataset on prevalence rates of health conditions and diseases like obesity, diabetes and he..
~$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.
Assessing the Healthcare Implications of Pre-training Data ...
Our results highlight substantial misalignment between LLM representation of disease prevalence and real disease prevalence rates across ...
A Controlled Simulation Study on Non-IID Clinical Data
by F Asad · 2026 — Different hospitals serve distinct patient populations with varying age distribu- tions, socioeconomic backgrounds, disease prevalence rates, ...
A Quantitative Framework to Predict Wait-Time Impacts ...
by M Mastrianni · 2025 — ... disease prevalence rates, radiologist reading times, and AI performance characteristics from FDA-cleared devices. The framework was verified ...
Expected fields and columns in this data product
Disease Prevalence Rates 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 dataset on prevalence rates of health conditions and diseases like obesity, diabetes and he..
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...