This data package shows the information on chronic condition dyads and triads for the year 2013 to 2015 by the Centers..
~$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.
Large scale statistically validated comorbidity networks
Based on the data, we associate each patient to one or more diseases and construct complex comorbidity networks associated with large patient ...
Characterization Of Diseases In Temporal Comorbidity ...
The networks in the dataset represent comorbidity relationships between diseases. Each node corresponds to a disease, and edges connect ...
AI-Based Comorbidity Prediction from Routine EHR Data
These comorbidities often arise from a combination of factors, including chronic immune activation, ART side effects, lifestyle behaviours, and ...
Expected fields and columns in this data product
Co-Morbidity Chronic Condition 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 shows the information on chronic condition dyads and triads for the year 2013 to 2015 by the Centers..
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...