Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species - Aix-Marseille Université
Article Dans Une Revue Clinical Microbiology and Infection Année : 2022

Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species

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Bactériologie Virologie Parasitologie Cardiologie et système cardiovasculaire Maladies émergentes Maladies infectieuses

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https://amu.hal.science/hal-03678890

Soumis le : mercredi 25 mai 2022-16:13:29

Dernière modification le : jeudi 1 février 2024-14:23:38

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hal-03678890 , version 1 (25-05-2022)

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Andriamiharimamy Rajaonison, Stéphanie Le Page, Thomas Maurin, Hervé Chaudet, Didier Raoult, et al.. Antilogic, a new supervised machine learning software for the automatic interpretation of antibiotic susceptibility testing in clinical microbiology: proof-of-concept on three frequently isolated bacterial species. Clinical Microbiology and Infection, 2022, ⟨10.1016/j.cmi.2022.03.035⟩. ⟨hal-03678890⟩

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