Cargando…
Machine Learning and Antibiotic Management
Machine learning and cluster analysis applied to the clinical setting of an intensive care unit can be a valuable aid for clinical management, especially with the increasing complexity of clinical monitoring. Providing a method to measure clinical experience, a proxy for that automatic gestalt evalu...
Autores principales: | Maviglia, Riccardo, Michi, Teresa, Passaro, Davide, Raggi, Valeria, Bocci, Maria Grazia, Piervincenzi, Edoardo, Mercurio, Giovanna, Lucente, Monica, Murri, Rita |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944459/ https://www.ncbi.nlm.nih.gov/pubmed/35326768 http://dx.doi.org/10.3390/antibiotics11030304 |
Ejemplares similares
-
Gas conditioning during helmet noninvasive ventilation: effect on comfort, gas exchange, inspiratory effort, transpulmonary pressure and patient–ventilator interaction
por: Bongiovanni, Filippo, et al.
Publicado: (2021) -
Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit
por: Fragasso, Tiziana, et al.
Publicado: (2023) -
Clinical and epidemiological risk factors for ventilator-associated pneumonia in a cohort of critically ill patients
por: De Pascale, G, et al.
Publicado: (2012) -
Linear and Nonlinear Heart Rate Variability Indexes in Clinical Practice
por: Francesco, Buccelletti, et al.
Publicado: (2012) -
Machine learning-powered antibiotics phenotypic drug discovery
por: Zoffmann, Sannah, et al.
Publicado: (2019)