Repositories (36)
Facilitates simple large scale processing of HLS Medical images, documents, zip files. OHIF Viewer, 2 segmentation models and interactive learning.
Build a question answering system based on a given collection of documents with open-source LLMs
Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Data Intelligence Platform.
Used for reading & writing X12 messages
Unlocking the Power of Health Data With a Modern Data Lakehouse
HEDIS Score Solution Accelerator with Apollomed
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.
Help augment diagnostic workflows with this Databricks Solution Accelerator for pathology image analysis. Now you can rapidly process thousands of whole slide images in minutes and use machine learning to automate the detection of metastasis.
In this solution, we offer a novel approach to sustainable finance by combining NLP techniques and news analytics to extract key strategic ESG initiatives and learn companies' commitments to corporate responsibility
From FHIR ingestion to patient outcomes analysis
Spark Structured Streaming for Payer MRF use case
Converting a json schema to a spark schema (struct) representation
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
Genome-wide association studies identify genetic variations associated with a target disease or trait. Researchers and clinicians can use this information to better detect, treat and prevent chronic health conditions. This Solution Accelerator notebook builds on top of Glow
Fault detection streaming pipeline for electric utilities
Solution accelerator for data fusion and building knowledge graphs
Patient-Level Risk Scoring Based on Condition History
Using Delta Sharing to Democratize Insights Into Social Determinants of Health
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
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.
Automated Extraction of Medical Risk Factors For Life Insurance Underwriting
Radiology LLM Labeling
Building Patient Cohorts with NLP and Knowledge Graphs
Burning Through Electronic Health Records in Real Time With Smolder
Next Best Action Demonstration on Databricks for Pharmaceutical Sales Use-cases
Implementing geospatial searches at Scale on a distributed platform