Extracts oncological entities from clinical texts and map them to their corresponding ICD-O 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.
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Implications of mappings between ICD clinical diagnosis ...
by ALM Tan · 2024 · Cited by 3 — Our analysis revealed that only 2.2% of ICD codes have direct mappings to HPO in UMLS. Within our EHR dataset, less than 50% of ICD codes have mappings to HPO ...Read
Evaluation and LLM-Guided Learning of ICD Coding ...
We construct a new rationale dataset for ICD coding task specifically based on the up-to-date MIMIC-IV benchmark with ICD-10 coding system for ...
Towards Semi-Structured Automatic ICD Coding via Tree- ...
The ICD system provides a hierarchical structure that maps diseases/procedures to digital codes. Clinical notes in EHR data are generally stored as free text, ...
Expected fields and columns in this data product
ICD-O Clinical Terminology Mapper 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).
Extracts oncological entities from clinical texts and map them to their corresponding ICD-O 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...