Machine Learning in Biomedical Informatics: Optimizing Resource Allocation and Energy Efficiency in Public Hospitals
This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in public healthcare systems. The study uses real-world data from 51 public hospitals across Southern and Northern I...
Saved in:
| Main Authors: | Agostino Marengo, Vito Santamato, Massimo Iacoviello |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11121831/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interpretable AI-driven multi-objective risk prediction in heart failure patients with thyroid dysfunction
by: Massimo Iacoviello, et al.
Published: (2025-05-01) -
Quantum algorithms and complexity in healthcare applications: a systematic review with machine learning-optimized analysis
by: Agostino Marengo, et al.
Published: (2025-05-01) -
Improving Search Accuracy in Large-Scale Biased Multiobjective Optimization Through Local Search
by: Feng Yin, et al.
Published: (2025-06-01) -
MODIFICATION OF FIREWORKS METHOD FOR MULTIOBJECTIVE OPTIMIZATION BASED ON NON-DOMINATED SORTING
by: A. V. Panteleev, et al.
Published: (2019-06-01) -
Multiobjective Optimization of SWISS Rectifier
by: YAN Jingbin, et al.
Published: (2021-02-01)