Precision Healthcare for UTIs: Leveraging Machine Learning to Reduce Readmissions
Hospital readmissions impose a significant financial strain on healthcare systems and can adversely affect patients. Unfortunately, traditional approaches to predicting readmissions frequently lack accuracy. This presents a critical challenge, as identifying patients at high risk for readmission is...
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| Main Authors: | Odai Mohammad Al-Jbour, Mohammad Alshraideh, Bahaaldeen Alshraideh |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/acis/7182123 |
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