Linear Binary Classifier to Predict Bacterial Biofilm Formation on Polyacrylates.

Contreas, Leonardo; Hook, Andrew L; Winkler, David A; Figueredo, Grazziela; Williams, Paul; Laughton, Charles A; Alexander, Morgan R; Williams, Philip M

Contreas, Leonardo; Hook, Andrew L; Winkler, David A; Figueredo, Grazziela; Williams, Paul; Laughton, Charles A; Alexander, Morgan R; Williams, Philip M.

Afiliación

Contreas L; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Hook AL; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Winkler DA; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Figueredo G; Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia.
Williams P; Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Bundoora, Victoria 3086, Australia.
Laughton CA; School of Computer Science, University of Nottingham, Nottingham NG8 1BB, United Kingdom.
Alexander MR; National Biofilms Innovation Centre and Biodiscovery Institute, School of Life Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.
Williams PM; School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, United Kingdom.

ACS Appl Mater Interfaces ; 2023 Mar 07.

Article en En | MEDLINE | ID: mdl-36881023

Palabras clave

bacterial attachment; classification; healthcare-associated infections; machine learning; polyacrylates

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: ACS Appl Mater Interfaces Asunto de la revista: BIOTECNOLOGIA / ENGENHARIA BIOMEDICA Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Estados Unidos

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