Databricks and John Snow Labs Solution Accelerator for Medicare Risk Adjustment automates the extraction of undiagnosed member conditions from unstructured clinical notes with NLP models, improving downstream reimbursements.

Our joint Solution Accelerator with John Snow Labs automates the detection of sensitive information contained within unstructured data using NLP models for healthcare. Extracted data is stored within the Lakehouse, where teams can use the pre-trained models to easily remove, obfuscate or mask data for downstream analytics at massive scale.

Generate oncology insights from real-world data using NLP. Once extracted, oncology data is enriched with useful information like ICD-10 codes and used to build powerful visualizations

To ensure ongoing drug safety, pharma companies need to monitor and report adverse drug events post-market launch. This accelerator extracts, processes and analyzes adverse drug events from real-world text data using NLP

Build a lakehouse for all your gamer data and use natural language processing techniques to flag questionable comments for moderation.

Automated Extraction of Medical Risk Factors For Life Insurance Underwriting

Drawing a Company Ecosystem Graph

This repository contains application code for the Wizeline Data Engineering Bootcamp (DEB) 2023. It is one of two repositories for the DEB. The other houses the infrastructure code.