{
  "id": 8425,
  "url": "https://doi.org/10.1186/s40537-018-0138-3",
  "title": "Big Data fraud detection using multiple medicare data sources",
  "summary": "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",
  "authors": "Matthew Herland, Taghi M. Khoshgoftaar, Richard A. Bauder",
  "category": "research",
  "topics": "healthcare",
  "orgs": null,
  "regions": "us",
  "published_at": "2018-09-04T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:37.184Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8425",
  "original_url": "https://doi.org/10.1186/s40537-018-0138-3",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}