Automated healthcare-associated infection surveillance using an artificial intelligence algorithm
Summary: Healthcare-associated infections (HAIs) are among the most common adverse events in hospitals. We used artificial intelligence (AI) algorithms for infection surveillance in a cohort study. The model correctly detected 67 out of 73 patients with HAIs. The final model used a multilayer percep...
| Hlavní autoři: | , , , , , , , , , |
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| Médium: | Článek |
| Jazyk: | English |
| Vydáno: |
Elsevier
2021-09-01
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| Edice: | Infection Prevention in Practice |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2590088921000561 |