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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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No Sequel and Graph database in Combination with Optimization Algorithms
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Network Analytics Toolkit
IoT Connection of Multiple Devices in Real Time
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Graph and Time Series Data Structures with Analytics Back-End
Running 'What If' Scenarios
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Claims Fraud
Risk Scoring
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Fraud Intervention
Online Seminar
Fraud Detection and Prevention in Healthcare Claims
Challenges in payer and provider Fraud
Methods to reduce false positives by 10%
Increase accuracy of ID and intervention
Use of visualizations for explainable ML
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What Machine Learning Can Learn from Graph
Graphs are rich data structures that can be used to improve the accuracy and effectiveness of machine learning workflows.
CASE Study
Tasktop
Exploring the Tasktop Network Graph
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