How Neo4j Graph Analytics for Snowflake Helps Developers Model Real-World Patient Data
In this video, learn how Graph Analytics for Snowflake empowers data analysts to model and analyze real-world patient data for more personalized healthcare solutions. You’ll learn how to seamlessly integrate synthetic patient data into Snowflake, configure the Neo4j Graph Analytics App, and harness advanced algorithms like the Jaccard coefficient for precise pairwise similarity scoring. All natively within Snowflake with no ETL.
What You’ll Learn
How to model healthcare data in Snowflake as a graph with patient and procedure nodes
- How to compute pairwise patient similarity using the Jaccard coefficient via the Neo4j Graph Analytics for Snowflake App
- How to run Louvain community detection in Snowflake to uncover patient cohorts
- How to leverage similarity scores and communities to predict and prioritize patient interventions
Resources mentioned
Cloud & data platforms
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