Machine learning vs. regression models to predict the risk of Legionella contamination in a hospital water network.
Future studies are required to improve these predictive models by expanding the dataset using other parameters and other pavilions of the same hospital.
Authors
- Osvalda De Giglio (ORCID: https://orcid.org/0000-0002-0297-9502)
- Carla Maria Leone (ORCID: https://orcid.org/0000-0003-0465-3781)
- Francesco Triggiano (ORCID: https://orcid.org/0009-0007-3858-3669)
- Giusy Diella
- Maria Teresa Montagna (ORCID: https://orcid.org/0000-0002-2958-5458)
- Marco Lopuzzo
- Valentina Spagnuolo
- Fabrizio Fasano (ORCID: https://orcid.org/0000-0001-8396-4697)
- Francesca Apollonio (ORCID: https://orcid.org/0000-0002-2601-0894)
Institutions
- University of Bari Aldo Moro (IT)
Publication Details
- Journal
- PubMed
- Published
- 2024-11-05
- DOI
- https://doi.org/10.7416/ai.2024.2644
- Citations
- 1
- Primary Topic
- Legionella and Acanthamoeba research
- Type
- article
- Field-Weighted Citation Impact
- 0.62