Explainable artificial intelligence (xai) in insurance
Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …
understandable relationship between humans and machines. The insurance industry …
[HTML][HTML] Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
MK Severino, Y Peng - Machine Learning with Applications, 2021 - Elsevier
This paper evaluated fraud prediction in property insurance claims using various machine
learning models based on real-world data from a major Brazilian insurance company. The …
learning models based on real-world data from a major Brazilian insurance company. The …
Blockchain and AI-empowered healthcare insurance fraud detection: an analysis, architecture, and future prospects
Nowadays, health insurance has become an essential part of people's lives as the number
of health issues increases. Healthcare emergencies can be troublesome for people who …
of health issues increases. Healthcare emergencies can be troublesome for people who …
[PDF][PDF] Information and communication technology in Nigeria insurance industry: Developments, challenges and prospects
Insurance industry provides insurance protection/financial guarantee to the insuring public
in a given economy say Nigeria. The existence of risk allowed impetus for the insurance …
in a given economy say Nigeria. The existence of risk allowed impetus for the insurance …
Improving healthcare services using source anonymous scheme with privacy preserving distributed healthcare data collection and mining
N Domadiya, UP Rao - Computing, 2021 - Springer
The trends of data mining on healthcare data for improving medical services have increased
because of the electronic healthcare record (EHR) system, which collects a massive amount …
because of the electronic healthcare record (EHR) system, which collects a massive amount …
A sequence mining-based novel architecture for detecting fraudulent transactions in healthcare systems
I Matloob, SA Khan, R Rukaiya, MAK Khattak… - IEEE …, 2022 - ieeexplore.ieee.org
With the exponential rise in government and private health-supported schemes, the number
of fraudulent billing cases is also increasing. Detection of fraudulent transactions in …
of fraudulent billing cases is also increasing. Detection of fraudulent transactions in …
Sequence mining and prediction-based healthcare fraud detection methodology
This article presents a novel methodology to detect insurance claim related frauds in the
healthcare system using concepts of sequence mining and sequence prediction. Fraud …
healthcare system using concepts of sequence mining and sequence prediction. Fraud …
Blockchain and crypto forensics: Investigating crypto frauds
In the past few years, cryptocurrency has gained widespread acceptance because of its
decentralized nature, quick and secure transactions, and potential for investment and …
decentralized nature, quick and secure transactions, and potential for investment and …
Sequential pattern mining approach for personalized fraudulent transaction detection in online banking
Financial institutions face challenges of fraud due to an increased number of online
transactions and sophisticated fraud techniques. Although fraud detection systems have …
transactions and sophisticated fraud techniques. Although fraud detection systems have …
Framework for analysis and detection of fraud in health insurance
N Rayan - 2019 IEEE 6th International Conference on Cloud …, 2019 - ieeexplore.ieee.org
The health insurance industry generates a wide range of data from patients' information to
provider payment and claims report. The impact of fraud, waste, and abuse (FWA) in medical …
provider payment and claims report. The impact of fraud, waste, and abuse (FWA) in medical …