Healthcare fraud detection with machine learning algorithms
Giannandrea, Giulia (A.A. 2023/2024) Healthcare fraud detection with machine learning algorithms. Tesi di Laurea in Algorithmis, Luiss Guido Carli, relatore Irene Finocchi, pp. 60. [Bachelor's Degree Thesis]
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Abstract/Index
Preliminaries: healthcare fraud. What healthcare fraud is. Types of healthcare fraud. Importance of detecting healthcare fraud. Challenges in healthcare fraud detection including data privacy concerns. Preliminaries: machine learning algorithms for fraud detection. What machine learning is. Role of machine learning in fraud detection. Machine learning algorithms used in healthcare fraud detection. Preliminaries: data privacy in healthcare fraud detection. Importance of data privacy in healthcare. Challenges in maintaining data privacy while utilizing machine learning for fraud detection. Techniques and methods to ensure data privacy. Legislative and regulatory frameworks impacting data privacy. Preliminaries: outlier detection in healthcare fraud: a case study in the Medicaid dental domain. Case study overview. Methodology.
References
Bibliografia: pp. 50-60.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Algorithmis |
| Thesis Supervisor: | Finocchi, Irene |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Oct 2024 13:08 |
| Last Modified: | 17 Oct 2024 13:08 |
| URI: | https://tesi.luiss.it/id/eprint/40096 |
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