Fraud

"Fraud" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

expand / collapse MeSH information
Exploitation through misrepresentation of the facts or concealment of the purposes of the exploiter.


expand / collapse Publications
This graph shows the total number of publications written about "Fraud" by people in this website by year, and whether "Fraud" was a major or minor topic of these publications.
Below are the most recent publications written about "Fraud" by people in Profiles.
  1. The Senator and the Sting Operation: Politics, the Media, and Frank Moss's Exposé of "Medicaid Mills". J Hist Med Allied Sci. 2024 Apr 02; 79(2):163-181.
    View in: PubMed
  2. Is that Hospital Food Pantry an Illegal Patient Inducement? Analysis of Health Care Fraud Laws as Barriers to Food and Nutrition Security Interventions. J Law Med Ethics. 2023; 51(4):889-899.
    View in: PubMed
  3. Experts identified warning signs of fraudulent research: a qualitative study to inform a screening tool. J Clin Epidemiol. 2022 11; 151:1-17.
    View in: PubMed
  4. Medicolegal Sidebar: A Fast Route To A Criminal Indictment-Violating Fraud and Abuse Laws. Clin Orthop Relat Res. 2021 11 01; 479(11):2362-2365.
    View in: PubMed
  5. Survey Fraud and the Integrity of Web-Based Survey Research. Am J Health Promot. 2022 01; 36(1):18-20.
    View in: PubMed
  6. Perceived Types, Causes, and Consequences of Financial Exploitation: Narratives From Older Adults. J Gerontol B Psychol Sci Soc Sci. 2021 04 23; 76(5):996-1004.
    View in: PubMed
  7. Experiences With Counterfeit Aesthetic Medical Devices and Injectables: A National Survey. Dermatol Surg. 2020 10; 46(10):1323-1326.
    View in: PubMed
  8. Combating Health Care Fraud and Abuse: Conceptualization and Prototyping Study of a Blockchain Antifraud Framework. J Med Internet Res. 2020 09 10; 22(9):e18623.
    View in: PubMed
  9. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health Surveill. 2020 08 25; 6(3):e20794.
    View in: PubMed
  10. Internet Searches for Unproven COVID-19 Therapies in the United States. JAMA Intern Med. 2020 08 01; 180(8):1116-1118.
    View in: PubMed