Published 16-04-2023
Keywords
- machine learning,
- healthcare resource demands,
- prediction,
- resource allocation
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
How to Cite
Abstract
This research paper presents a study on machine learning approaches for predicting healthcare resource demands. The efficient allocation of healthcare resources is crucial for ensuring quality patient care and optimizing healthcare operations. Machine learning models offer a promising avenue for predicting healthcare resource demands, enabling healthcare providers to allocate resources effectively. In this paper, we explore various machine learning techniques and algorithms for predicting healthcare resource demands, including hospital admissions, bed occupancy, staffing requirements, and equipment needs. We discuss the challenges and opportunities in applying machine learning to healthcare resource prediction and highlight future research directions in this area.
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References
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