Big Data fraud detection using multiple medicare data sources
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 such as Medicare are needed to help manage the high costs associated with quality healthcare. Unfortunately, there are individuals who commit fraud for nefarious reasons and personal gain, limiting Medicare’s ability to effectively provide for the healthcare needs of the elderly and other qualifying people. To minimize fraudulent a
Record details
Published: 4 September 2018
Source: OpenAlex
Category: Research
Topics: Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (4 September 2018), “Big Data fraud detection using multiple medicare data sources,” evidence record 8425, https://ethics.ai/record/8425 (originally published by OpenAlex).
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