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

Autor: Àlvar Hernàndez-Carnerero, Miquel Sànchez-Marrè, Inmaculada Mora-Jiménez, Cristina Soguero-Ruiz, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez

Publikováno v: International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 5, Pp 119-133 (2021)

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 a

Externí odkaz: https://doaj.org/article/884973aa284f4f3d923d3ab4cc66c69b

Artificial Intelligence to Get Insights of Multi-Drug Resistance Risk Factors during the First 48 Hours from ICU Admission

Autor: Inmaculada Mora-Jiménez, Jorge Tarancón-Rey, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruiz

Publikováno v: Antibiotics, Vol 10, Iss 3, p 239 (2021)

Multi-drug resistance (MDR) is one of the most current and greatest threats to the global health system nowadays. This situation is especially relevant in Intensive Care Units (ICUs), where the critical health status of these patients makes them more

Externí odkaz: https://doaj.org/article/c3881cd1d70d4cb197d7c7fe49f7015c

Data and Network Analytics for COVID-19 ICU Patients: A Case Study for a Spanish Hospital

Autor: Joaquín Álvarez-Rodríguez, Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Cristina Soguero-Ruiz, Antonio G. Marques

Publikováno v: IEEE Journal of Biomedical and Health Informatics. 25:4340-4353

The COVID-19 pandemic presents unprecedented challenges to the healthcare systems around the world. In 2020, Spain was among the countries with the highest Intensive Care Unit (ICU) hospitalization and mortality rates. This work analyzes data of COVI

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8873f6455f5e320fcab1952197c0da65
https://doi.org/10.1109/jbhi.2021.3116804

Machine Learning Techniques to Identify Antimicrobial Resistance in the Intensive Care Unit

Autor: Sergio Martínez-Agüero, Inmaculada Mora-Jiménez, Jon Lérida-García, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruiz

Publikováno v: Entropy, Vol 21, Iss 6, p 603 (2019)

The presence of bacteria with resistance to specific antibiotics is one of the greatest threats to the global health system. According to the World Health Organization, antimicrobial resistance has already reached alarming levels in many parts of the

Externí odkaz: https://doaj.org/article/36cb0e32d25b4f39acea44133c00b227

Antimicrobial resistance prediction in intensive care unit for Pseudomonas Aeruginosa using temporal data-driven models

Autor: Inmaculada Mora-Jiménez, Sergio Martínez-Agüero, Joaquín Álvarez-Rodríguez, Cristina Soguero-Ruiz, Miquel Sànchez-Marrè, Álvar Hernández-Carnerero

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 5, Pp 119-133 (2021)
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid

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 a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9736b319f398292c71e09a4a08383019
https://hdl.handle.net/2117/347597