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

Daniele Roberto Giacobbea Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyCorrespondence[email protected]

https://orcid.org/0000-0003-2385-1759 View further author information

Cristina Marellib Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy

https://orcid.org/0000-0003-1510-1819 View further author information

Sara Morac Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, ItalyView further author information

Sabrina Guastavinod Department of Mathematics (DIMA), University of Genoa, Genoa, ItalyView further author information

Chiara Russoa Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Giorgia Bruccia Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Alessandro Limongellia Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Antonio Venaa Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Malgorzata Mikulskaa Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Maryam Tayefie Norwegian Centre for E-Health Research, Tromsø, NorwayView further author information

Stefano Pelusof Department of Statistics and Quantitative Methods, University of Milan - Bicocca, Milan, ItalyView further author information

Alessio Signorig Section of Biostatistics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, ItalyView further author information

Antonio Di Biagioa Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Anna Marcheseh Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy;i Microbiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Cristina Campid Department of Mathematics (DIMA), University of Genoa, Genoa, Italy;j Life Science Computational Laboratory (LISCOMP), IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

Mauro Giacominic Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, Italy

https://orcid.org/0000-0001-5646-2034 View further author information

Matteo Bassettia Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy;b Clinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, ItalyView further author information

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

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

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