This model specializes in identifying key risk factors such as Coronary Artery Disease, Diabetes, Family History, etc.
~$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.
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Automatic Extraction of Disease Risk Factors from Medical ...
by M Rubchinsky · 2024 · Cited by 1 — We present a novel approach to automating the identification of risk factors for diseases from medical literature, leveraging pre-trained models in the bio- ...Re
Automatic Extraction of Disease Risk Factors from Medical ...
The risk factor annotation system comprises three main components designed to streamline the process of annotating risk factors in medical ...
Leveraging Large Language Models to Extract Information ...
This study is the first foundational effort in a broader goal to extract additional granular risk factors associated with SUD patients.
Expected fields and columns in this data product
Extract clinical risk factors 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 model specializes in identifying key risk factors such as Coronary Artery Disease, Diabetes, Family History, etc.
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...