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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study.

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Title: Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study.
Authors: Campagner, Andrea1 (AUTHOR), Agnello, Luisa2 (AUTHOR), Carobene, Anna3 (AUTHOR), Padoan, Andrea4,5 (AUTHOR), Del Ben, Fabio6 (AUTHOR), Locatelli, Massimo3 (AUTHOR), Plebani, Mario4,5 (AUTHOR), Ognibene, Agostino7 (AUTHOR), Lorubbio, Maria7 (AUTHOR), De Vecchi, Elena1 (AUTHOR), Cortegiani, Andrea2,8 (AUTHOR), Piva, Elisa9 (AUTHOR), Poz, Donatella10 (AUTHOR), Curcio, Francesco10 (AUTHOR), Cabitza, Federico1,11 (AUTHOR) federico.cabitza@unimib.it, Ciaccio, Marcello2,8 (AUTHOR)
Source: Journal of Medical Internet Research. 2025, Vol. 27, p1-24. 24p.
Database: Academic Search Ultimate
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An: 190700058
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  Data: Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Internet+Research%22">Journal of Medical Internet Research</searchLink>. 2025, Vol. 27, p1-24. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190700058
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        Value: 10.2196/55492
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        Text: English
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        PageCount: 24
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      – TitleFull: Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study.
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              Text: 2025
              Type: published
              Y: 2025
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