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Big data analytics in medical engineering and healthcare: methods, advances and challenges
Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …
Stakeholders are finding big data analytics reduce medical costs and personalise medical …
Big data fraud detection using multiple medicare data sources
Abstract In the United States, advances in technology and medical sciences continue to
improve the general well-being of the population. With this continued progress, programs …
improve the general well-being of the population. With this continued progress, programs …
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data
Abstract Healthcare in the United States is a critical aspect of most people's lives, particularly
for the aging demographic. This rising elderly population continues to demand more cost …
for the aging demographic. This rising elderly population continues to demand more cost …
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism
J Lu, K Lin, R Chen, M Lin, X Chen, P Lu - BMC Medical Informatics and …, 2023 - Springer
Background With the rapid growth of healthcare services, health insurance fraud detection
has become an important measure to ensure efficient use of public funds. Traditional fraud …
has become an important measure to ensure efficient use of public funds. Traditional fraud …
Healthcare fraud data mining methods: a look back and look ahead
Healthcare fraud is an expensive, white-collar crime in the United States, and it is not a
victimless crime. Costs associated with fraud are passed on to the population in the form of …
victimless crime. Costs associated with fraud are passed on to the population in the form of …
Healthcare insurance fraud detection using data mining
Background Healthcare programs and insurance initiatives play a crucial role in ensuring
that people have access to medical care. There are many benefits of healthcare insurance …
that people have access to medical care. There are many benefits of healthcare insurance …
Health insurance fraud detection based on multi-channel heterogeneous graph structure learning
B Hong, P Lu, H Xu, J Lu, K Lin, F Yang - Heliyon, 2024 - cell.com
Health insurance fraud is becoming more common and impacting the fairness and
sustainability of the health insurance system. Traditional health insurance fraud detection …
sustainability of the health insurance system. Traditional health insurance fraud detection …
The effects of class rarity on the evaluation of supervised healthcare fraud detection models
Abstract The United States healthcare system produces an enormous volume of data with a
vast number of financial transactions generated by physicians administering healthcare …
vast number of financial transactions generated by physicians administering healthcare …
[PDF][PDF] The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels.
With the overall increase in the elderly population comes additional, necessary medical
needs and costs. Medicare is a US healthcare program that provides insurance, primarily to …
needs and costs. Medicare is a US healthcare program that provides insurance, primarily to …
Evaluation of maxout activations in deep learning across several big data domains
This study investigates the effectiveness of multiple maxout activation function variants on 18
datasets using Convolutional Neural Networks. A network with maxout activation has a …
datasets using Convolutional Neural Networks. A network with maxout activation has a …