technical-solutions-lakehouse Goto Github PK

adb-essentials-demos

ADB Essentials Demos used in the webinars: https://databricks.com/p/webinar/azure-databricks-essentials-series

adverse-drug-events

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

als-recommender

Products We Think You Might Like: Generating Personalized Recommendations Using Matrix Factorization

chf-care-quality

Calculating quality metrics for congestive heart failure, including MS-DRGs creation

computer-vision-foundations

Enabling Computer Vision Applications With the Data Lakehouse

databricks-model-serving

Databricks SRTI demo

digital-pathology

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.

digitization-documents

Using Apache tika and tesseract to extact text from any document

factory-optimization

Overall Equipment Effectiveness: Performant and Scalable End-to-End Equipment Monitoring

fine-grained-demand-forecasting

Perform fine-grained forecasting at the store-item level in an efficient manner, leveraging the distributed computational power of the Databricks Lakehouse Platform.

fsi-mrm-generation

Automated generation of MRM documentation

fuzzy-item-matching

Use machine learning and the Databricks Lakehouse Platform for product matching that can be used by marketplaces and suppliers for various purposes. Resolve differences between product definitions and descriptions and determine which items are likely pairs and which are distinct across disparate data sets.

geospatial-kanonymity

we demonstrate how FSI can leverage geospatial and graph analytics to anonymize card transaction data and monetize their assets to potential clients securely via delta sharing capability

glow-solution-accelerator

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

gnn-lvdr-pytorch

GNNs on Databricks with PyTorch and GraphSAGE

hls-interop-workshop-jan23

Assets used in interoperability workshop made publicly available

hls-llm-doc-qa

Build a question answering system based on a given collection of documents with open-source LLMs

hls-patient-risk

Patient-Level Risk Scoring Based on Condition History

hls-payer-mrf-sparkstreaming

Spark Structured Streaming for Payer MRF use case

hls-price-transparency-workshop

Public workshop material for 2023 Q2

hls-tcga

insurance-qa-nlp

Digitalization of the Claims Process using NLP, Delta and Hugging Face

jsl-financial-nlp

Drawing a Company Ecosystem Graph

jsl-kg-cohorts

Building Patient Cohorts with NLP and Knowledge Graphs

jsl-medical-risk-factors

Automated Extraction of Medical Risk Factors For Life Insurance Underwriting

jsl-medical-text-summarization

jsl-sdoh-ner

many-model-forecasting

Bootstrap your large scale forecasting solution on Databricks with Many Models Forecasting (MMF) Project.

media-mix-modeling

Media Mix Modeling Accelerator

medicare-risk-adjustment

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.