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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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Churn Avoidance, Upsell, Cross Sell
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Financial Services: Fighting AML and Trade Fraud
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Entitlements
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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
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
Blog
Serverless ML
You can now deploy your models and get real-time scalable results without ever having to provision a server. Let me show you how I did it.
CASE Study
Valent U.S.A. LLC
Use machine learning to forecast crop growth.
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