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Fraud Toolkit in Medical Healthcare Claims
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Demo
Fraud Toolkit in Medical Healthcare Claims
Tags:
Graph Technology
Data Science & Machine Learning
Life Sciences & Health Care
Fraud Detection
Summary:
Medical Healthcare Claims
Machine Learning, Graph Technology, and Time Series Structure
View Connections to Risky Communities
Tweak Graph and Machine Learning Algorithms to Flag Identified Patterns
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Demo
Airlines, Logistics, & Transport Optimization Toolkit
Optimization for Crew, Craft, & Location
View Vital KPIs
Example Airline Use Cases
No Sequel and Graph database in Combination with Optimization Algorithms
Demo
Network Analytics Toolkit
IoT Connection of Multiple Devices in Real Time
Forecast Complex Dependent Networks
Graph and Time Series Data Structures with Analytics Back-End
Running 'What If' Scenarios
Demo
Financial Services Toolkit: Portfolio Demo
An In-Depth Look into the Performance Recommendation Widget
'What If' Scenario Building
Sharing Interactions with Jupyter Notebook
Running and Editing Scenarios in Jupyter Notebook
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Data Day Texas: Graph Convolutional Networks For Node Classification
Applications for GCNs
Graph embeddings
GCN in practice
Blog
Building Your Graph with Confluent Streams
Fault tolerant and durable data transmission plus system integration sourcing data for graph analysis.
CASE Study
Predictive Analytics for Kinsa Health
Can you predict and plan for the flu?
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