Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project-Reference-Cited by-同舟云学术

Early diagnosis of candidemia with explainable machine learning on automatically extracted laboratory and microbiological data: results of the AUTO-CAND project

Published:2023-11-27 Issue:2 Volume:55 Page:
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Giacobbe Daniele Roberto¹²^ORCID,Marelli Cristina²^ORCID,Mora Sara³,Guastavino Sabrina⁴,Russo Chiara¹²,Brucci Giorgia¹²,Limongelli Alessandro¹²,Vena Antonio¹²,Mikulska Malgorzata¹²,Tayefi Maryam⁵,Peluso Stefano⁶,Signori Alessio⁷,Di Biagio Antonio¹²,Marchese Anna⁸⁹,Campi Cristina⁴¹⁰,Giacomini Mauro³^ORCID,Bassetti Matteo¹²

Affiliation:

1. Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy

2. Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy

3. Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, Italy

4. Department of Mathematics (DIMA), University of Genoa, Genoa, Italy

5. Norwegian Centre for E-Health Research, Tromsø, Norway

6. Department of Statistics and Quantitative Methods, University of Milan - Bicocca, Milan, Italy

7. Section of Biostatistics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy

8. Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy

9. Microbiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy

10. Life Science Computational Laboratory (LISCOMP), IRCCS Ospedale Policlinico San Martino, Genoa, Italy

Funder

Pfizer Global Medical Grants (GMG) for General Research

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2285454

Reference41 articles.

1. Epidemiology of candidemia in intensive care units

2. Candidemia and candiduria in critically ill patients admitted to intensive care units in France: incidence, molecular diversity, management and outcome

3. A multicenter study of septic shock due to candidemia: outcomes and predictors of mortality

4. Incidence and outcome of invasive candidiasis in intensive care units (ICUs) in Europe: results of the EUCANDICU project

5. Nosocomial Bloodstream Infections in US Hospitals: Analysis of 24,179 Cases from a Prospective Nationwide Surveillance Study

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