Machine Learning

HealthFraudMLChain

A sophisticated healthcare insurance platform combining distributed ledger technology with advanced machine learning algorithms to revolutionize fraud prevention in medical billing systems.

HealthFraudMLChain
Python TensorFlow Hyperledger Flask React Solidity MongoDB

Overview

HealthFraudMLChain is a cutting-edge healthcare fraud detection system that combines the immutability of blockchain technology with the predictive power of machine learning. The platform achieves 99.93% accuracy in identifying fraudulent medical billing claims.

Key Features

  • ML-Powered Fraud Detection: Advanced neural networks trained on healthcare billing patterns to identify anomalies
  • Blockchain Audit Trail: Immutable record of all transactions using Hyperledger for regulatory compliance
  • ECIES Encryption: End-to-end encryption protecting sensitive patient health information
  • Real-Time Analysis: Instant fraud scoring as claims are submitted

Technical Architecture

The system uses TensorFlow for model training, Flask for the API layer, and Hyperledger Fabric for the distributed ledger. React frontend provides an intuitive dashboard for claims analysts.

Impact

  • Potential savings of millions in fraudulent claim payouts
  • HIPAA-compliant data handling
  • Reduces claim processing time by 60%

Interested in This Work?

Let's discuss how we can collaborate or apply similar techniques to your problems.