This model was trained to identify diseases and syndromes entities and map those to their corresponding UMLS CUI codes.
~$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 Hybrid Framework with Large Language Models for Rare ...
by J Wu · 2024 · Cited by 29 — ICD-10 is a widely used system for classifying diseases, injuries, and health conditions, providing a standardized coding scheme for clinical ...
LLMs in Biomedical: A Study on Named Entity Recognition
This paper investigates LLMs application in the biomedical domain by exploring strategies to enhance their performance for the NER task.
arXiv:2409.15368v1 [cs.CL] 18 Sep 2024
by KD Baksi · 2024 · Cited by 9 — Disease extraction, a key component of both traditional medical coding and the MedCodER framework, involves identifying disease entities from ...
Expected fields and columns in this data product
Extract Disease and Syndrom entities and their UMLS Codes 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 was trained to identify diseases and syndromes entities and map those to their corresponding UMLS CUI codes.
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...