54 related articles for article (PubMed ID: 26927587)
1. Healthcare insurance fraud detection using data mining.
Hamid Z; Khalique F; Mahmood S; Daud A; Bukhari A; Alshemaimri B
BMC Med Inform Decis Mak; 2024 Apr; 24(1):112. PubMed ID: 38671513
[TBL] [Abstract][Full Text] [Related]
2. Dishonesty in medicine revisited.
Fred HL
Tex Heart Inst J; 2008; 35(1):6-15. PubMed ID: 18427644
[No Abstract] [Full Text] [Related]
3. How to detect healthcare fraud? "A systematic review".
Thaifur AYBR; Maidin MA; Sidin AI; Razak A
Gac Sanit; 2021; 35 Suppl 2():S441-S449. PubMed ID: 34929872
[TBL] [Abstract][Full Text] [Related]
4. Data mining algorithm in the identification of accounting fraud by smart city information technology.
Zheng X; Abdul Hamid MA; Hou Y
Heliyon; 2024 May; 10(9):e30048. PubMed ID: 38726191
[TBL] [Abstract][Full Text] [Related]
5. Collaborative artificial intelligence system for investigation of healthcare claims compliance.
Sbodio ML; López V; Hoang TL; Brisimi T; Picco G; Vejsbjerg I; Rho V; Mac Aonghusa P; Kristiansen M; Segrave-Daly J
Sci Rep; 2024 May; 14(1):11884. PubMed ID: 38789503
[TBL] [Abstract][Full Text] [Related]
6. Tribulations and future opportunities for artificial intelligence in precision medicine.
Carini C; Seyhan AA
J Transl Med; 2024 Apr; 22(1):411. PubMed ID: 38702711
[TBL] [Abstract][Full Text] [Related]
7. The Experiences of Strategic Purchasing of Healthcare in Nine Middle-Income Countries: A Systematic Qualitative Review.
Sumankuuro J; Griffiths F; Koon AD; Mapanga W; Maritim B; Mosam A; Goudge J
Int J Health Policy Manag; 2023; 12():7352. PubMed ID: 38618795
[TBL] [Abstract][Full Text] [Related]
8. Understanding conflicts of interest in rational drug prescription in a developing country: A stakeholder analysis, healthcare guidelines and ethical public health issues.
Moradi F; Bazyar M; Soroush A; Seyedin H; Soleymani F; Etemadi M; Ezadi S; Salimi M; Behzadifar M; Martini M; Hussain R
J Prev Med Hyg; 2023 Sep; 64(3):E358-E366. PubMed ID: 38126000
[TBL] [Abstract][Full Text] [Related]
9. Why Not Blow the Whistle on Health Care Insurance Fraud? Evidence from Jiangsu Province, China.
Wang D; Zhan C
Risk Manag Healthc Policy; 2022; 15():1897-1915. PubMed ID: 36268183
[TBL] [Abstract][Full Text] [Related]
10. Detecting fraud, waste, and abuse in substance use disorder treatment.
Garrido MM; Jones DK; Woodruff A; Strombotne K; Palani S; Zahakos S; Adelberg M; Pizer SD; Frakt AB
Health Serv Res; 2022 Oct; 57(5):997-1000. PubMed ID: 35932224
[No Abstract] [Full Text] [Related]
11. Healthcare Fraud Data Mining Methods: A Look Back and Look Ahead.
Kumaraswamy N; Markey MK; Ekin T; Barner JC; Rascati K
Perspect Health Inf Manag; 2022; 19(1):1i. PubMed ID: 35440932
[TBL] [Abstract][Full Text] [Related]
12. Fourteen years of manifestations and factors of health insurance fraud, 2006-2020: a scoping review.
Villegas-Ortega J; Bellido-Boza L; Mauricio D
Health Justice; 2021 Sep; 9(1):26. PubMed ID: 34591187
[TBL] [Abstract][Full Text] [Related]
13. Precision Medicine, AI, and the Future of Personalized Health Care.
Johnson KB; Wei WQ; Weeraratne D; Frisse ME; Misulis K; Rhee K; Zhao J; Snowdon JL
Clin Transl Sci; 2021 Jan; 14(1):86-93. PubMed ID: 32961010
[TBL] [Abstract][Full Text] [Related]
14. Combating Health Care Fraud and Abuse: Conceptualization and Prototyping Study of a Blockchain Antifraud Framework.
Mackey TK; Miyachi K; Fung D; Qian S; Short J
J Med Internet Res; 2020 Sep; 22(9):e18623. PubMed ID: 32909952
[TBL] [Abstract][Full Text] [Related]
15. Approaches for identifying U.S. medicare fraud in provider claims data.
Herland M; Bauder RA; Khoshgoftaar TM
Health Care Manag Sci; 2020 Mar; 23(1):2-19. PubMed ID: 30368641
[TBL] [Abstract][Full Text] [Related]
16. Hypothesis-Free Search for Connections between Birth Month and Disease Prevalence in Large, Geographically Varied Cohorts.
Borsi JP
AMIA Annu Symp Proc; 2016; 2016():319-325. PubMed ID: 28269826
[TBL] [Abstract][Full Text] [Related]
17. Reducing medical claims cost to Ghana's National Health Insurance scheme: a cross-sectional comparative assessment of the paper- and electronic-based claims reviews.
Nsiah-Boateng E; Asenso-Boadi F; Dsane-Selby L; Andoh-Adjei FX; Otoo N; Akweongo P; Aikins M
BMC Health Serv Res; 2017 Feb; 17(1):115. PubMed ID: 28166773
[TBL] [Abstract][Full Text] [Related]
18. Improving Fraud and Abuse Detection in General Physician Claims: A Data Mining Study.
Joudaki H; Rashidian A; Minaei-Bidgoli B; Mahmoodi M; Geraili B; Nasiri M; Arab M
Int J Health Policy Manag; 2015 Nov; 5(3):165-72. PubMed ID: 26927587
[TBL] [Abstract][Full Text] [Related]
19.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
