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Using machine learning for improving knowledge on antibacterial effect of bioactive glass
dc.contributor.author | Echezarreta López, María Magdalena | |
dc.contributor.author | Landin, M. | |
dc.contributor.other | Ingeniería Química y Tecnología Farmacéutica | |
dc.date.accessioned | 2024-04-29T20:05:36Z | |
dc.date.available | 2024-04-29T20:05:36Z | |
dc.date.issued | 2013 | |
dc.identifier.uri | http://riull.ull.es/xmlui/handle/915/37313 | |
dc.description | Inteligencia artificial | |
dc.description.abstract | The aim of this work was to find relationships between critical bioactive glass characteristics and their antibacterial behaviour using an artificial intelligence tool. A large dataset including ingredients and process variables of the bioactive glasses production, bacterial characteristics and microbiological experimental conditions was generated from literature and analyzed by neurofuzzy logic technology. Our findings allow an explanation on the variability in antibacterial behaviour found by different authors and to obtain general conclusions about critical parameters of bioactive glasses to be considered in order to achieve activity against some of the most common skin and implant surgery pathogens. | en |
dc.description.sponsorship | financiado por POCTEP 0330IBEROMARE1P project, FEDER. ML (PR2010-0460) | es_ES |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.relation.ispartofseries | International Journal of Pharmaceutics 453 (2013) 641– 647 | |
dc.rights | Licencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES | |
dc.title | Using machine learning for improving knowledge on antibacterial effect of bioactive glass | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1016/j.ijpharm.2013.06.036 | |
dc.subject.keyword | Bioactive glass | en |
dc.subject.keyword | Antibacterial behaviour | en |
dc.subject.keyword | Modelling | en |
dc.subject.keyword | Artificial intelligence | en |
dc.subject.keyword | Neurofuzzy logic | en |
dc.subject.keyword | Machine learning | en |
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Documentos de investigación (artículos, libros, capítulos de libros, ponencias...) publicados por investigadores del Departamento de Ingeniería Química y Tecnología Farmacéutica