Infigos Software Solutions Ltd

Case Study: Fraud in Health Insurance
This case study is related with fraud is health insurance claims. A Claims Constraint Scoring Mechanism is required to be implemented which would Identify (with a significant level of accuracy) the Fraudulent Claims from the Genuine Claims. This Scoring methodology developed from historical Claims information would be effective in Rejecting Fraudulent Claims. A model was built using historical information.
Read More at: https://www.infigos-solutions.com/case-studies/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Case Study: Fraud in Insurance

This case study are related with fraud is insurance claims. A Claims Constraint Scoring Mechanism is required to be implemented which would Identify (with a significant level of accuracy) the Fraudulent Claims from the Genuine Claims.

Read More at: https://www.infigos-solutions.com/case-studies/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232

Rule Generation Using Fraud Analyser

The machine learning layer connects the rule-detection and relevant modelling functions. It starts by generating the rules-based framework from the initial training dataset by using most relevant machine learning algorithms.

Read More at: https://www.infigos-solutions.com/fraud-analyser/



For more details,
Website: https://www.infigos-solutions.com/
Email: [email protected]
Phone: +353 1254 8232