The purpose of this study is to implement and evaluate a novel framework to detect fraudulent and abusive cases independently from the actors and commodities ...
(PDF) An interactive machine-learning-based electronic ...
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PDF | On Aug 11, 2015, Ilker Kose and others published An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance
Jan 19, 2016 · The purpose of this study is to implement and evaluate a novel framework to detect fraudulent and abusive cases independently from the actors and commodities ...
A novel process-based fraud detection methodology to detect insurance claim-related frauds in the healthcare system using sequence mining concepts is ...
Interactive machine learning that allows incorporating expert knowledge in an unsupervised setting is utilized to detect fraud and abusive cases in healthcare.
Oct 5, 2020 · We proposed a neural network with fully connected layers and sparse convolution. We introduced a focal-loss function to adapt to the data imbalance.
Missing: interactive electronic
Jul 4, 2024 · PDF | It is estimated that approximately 10% of healthcare system expenditures are wasted due to medical fraud and abuse.
Missing: interactive | Show results with:interactive
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Sep 5, 2023 · This study aims to develop a health model that automatically detects fraud from health insurance claims in Saudi Arabia.
An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance ... Appl. Soft Comput. 2015. 106 ...
Apr 26, 2024 · Measures should be taken to detect and report fraud, waste, and abuse in the system, including errors and abuse by providers, unnecessary costs ...