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Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care.

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Title: Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care.
Authors: Leiwolf, Mihály1,2 (AUTHOR), Gregoire, Nicolas1,3 (AUTHOR) nicolas.gregoire@univ‐poitiers.fr, Magréault, Sophie4,5 (AUTHOR), Franck, Bénédicte6,7 (AUTHOR), Krekounian, Ombeline1,8 (AUTHOR), Woillard, Jean‐Baptiste2,9 (AUTHOR), Aranzana‐Climent, Vincent1 (AUTHOR)
Source: CPT: Pharmacometrics & Systems Pharmacology. Jul2026, Vol. 15 Issue 7, p1-13. 13p.
Database: Academic Search Ultimate
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An: 195438988
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  Data: Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care.
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  Data: <searchLink fieldCode="JN" term="%22CPT%3A+Pharmacometrics+%26+Systems+Pharmacology%22">CPT: Pharmacometrics & Systems Pharmacology</searchLink>. Jul2026, Vol. 15 Issue 7, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=195438988
RecordInfo BibRecord:
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        Value: 10.1002/psp4.70296
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      – Code: eng
        Text: English
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      – TitleFull: Model Ensembling and Machine Learning Approaches to Predict the First Dose of Amoxicillin in Intensive Care.
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            NameFull: Leiwolf, Mihály
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            NameFull: Gregoire, Nicolas
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            NameFull: Magréault, Sophie
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            NameFull: Franck, Bénédicte
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            NameFull: Krekounian, Ombeline
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            NameFull: Woillard, Jean‐Baptiste
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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            – TitleFull: CPT: Pharmacometrics & Systems Pharmacology
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