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
Building Patient Cohorts with NLP and Knowledge Graphs
Join nearest rows based on continuous columns, for example timestamp. Supports multiple directions of fill, grouping and doesn't require the data to be ordered.
Drawing a Company Ecosystem Graph
Group columns into one column, works in similar manner as listagg in SQL
Tool to get quick overview of the columns in the datatable
Replace X values with Y value in selected columns
Delete columns with specific amount of missing values
Get unique values from JMP datatable to GUI and copy them to clipboard in different formats
Tool to convert character columns to numeric when possible
Fill missing cells based on found values. Supports multiple directions of fill, grouping and doesn't require the data to be ordered
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