Predicting diabetic patient readmissions using AI and machine learning a comparative study
Alhariri, Abd Albary Mohammad (A.A. 2023/2024) Predicting diabetic patient readmissions using AI and machine learning a comparative study. Tesi di Laurea in Microeconomics, Luiss Guido Carli, relatore Luigi Marengo, pp. 38. [Bachelor's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Clinical decision-making. Hospital operations and management. Medical imaging and diagnostics. Patient care and monitoring. Drug development and personalized medicine. Predictive analytics in healthcare. Exploring the impact: key studies on predictive analytics in healthcare. Challenges and ethical issues in AI-driven healthcare. Data and methods. Research design. Data source. Steps in Exploratory data analysis (EDA). Data analysis methods. Modeling approach. Analytical techniques. Feature engineering. Data transformation. Exploratory data analysis (EDA). Model implementation. Results. Discussion.
References
Bibliografia: pp. 34-35.
| 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: | Microeconomics |
| Thesis Supervisor: | Marengo, Luigi |
| Academic Year: | 2023/2024 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 17 Jul 2025 15:17 |
| Last Modified: | 17 Jul 2025 15:17 |
| URI: | https://tesi.luiss.it/id/eprint/42973 |
Downloads
Downloads per month over past year
Repository Staff Only
 |
View Item |
