Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models

Antimicrobial Resistance Prediction in Intensive Care Unit for Pseudomonas Aeruginosa using Temporal Data-Driven Models

One threatening medical problem for human beings is the increasing antimicrobial resistance of some microorganisms. This problem is especially difficult in Intensive Care Units (ICUs) of hospitals due to the vulnerable state of patients. Knowing in advance whether a concrete bacterium is resistant o...

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Bibliographic Details
Main Authors: Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruiz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2021-03-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
antimicrobial resistance
intensive care unit
prediction
pseudomonas aeruginosa
temporal data-driven modeling
Online Access:https://www.ijimai.org/journal/bibcite/reference/2908

Internet

https://www.ijimai.org/journal/bibcite/reference/2908

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