Project Abstract

Abstract
Insurance fraud is a significant issue that impacts the financial stability of insurance companies and leads to increased premiums for policyholders. In order to combat fraud effectively, insurance companies are increasingly turning to predictive modeling techniques to detect fraudulent claims. This research project aims to develop a predictive modeling framework specifically tailored for insurance claim fraud detection. The study will explore various machine learning algorithms and data mining techniques to identify patterns and anomalies in insurance claims data that may indicate potential fraud. The research will be structured into five main chapters. Chapter One will provide an introduction to the project, including a background of the study, problem statement, objectives, limitations, scope, significance, structure of the research, and definitions of key terms. Chapter Two will present a comprehensive literature review covering ten key aspects related to insurance fraud detection, predictive modeling, and relevant technologies. Chapter Three will focus on the research methodology, detailing the data collection process, data preprocessing steps, feature selection techniques, model development, model evaluation methods, and validation strategies. The chapter will also discuss the ethical considerations and potential biases in the predictive modeling process. Chapter Four will present the findings of the research, highlighting the performance of different predictive models in detecting insurance claim fraud. The chapter will analyze the results, interpret the model outputs, and discuss the implications for insurance companies in terms of fraud detection and prevention strategies. Finally, Chapter Five will conclude the research by summarizing the key findings, discussing the limitations of the study, suggesting areas for future research, and providing recommendations for insurance companies looking to implement predictive modeling for fraud detection. The research aims to contribute to the ongoing efforts in the insurance industry to combat fraud effectively and improve the overall integrity of insurance claim processes.

Project Overview