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Antimicrobial Resistance and Machine Learning : Challenges and Opportunities

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dc.contributor.authorElyan, Eyad
dc.contributor.authorHussain, A.
dc.contributor.authorSheikh, Aziz
dc.contributor.authorVuttpittayamongkol, Pattaramon
dc.contributor.authorHijazi, Karolin
dc.contributor.institutionUniversity of Aberdeen.Dental Educationen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.date.accessioned2022-08-17T11:24:01Z
dc.date.available2022-08-17T11:24:01Z
dc.date.issued2022
dc.descriptionACKNOWLEDGMENT The authors would like to thank Global Challenge Research Fund (GCRF) for supporting this worken
dc.description.statusPeer revieweden
dc.format.extent17
dc.format.extent1130968
dc.identifier214851412
dc.identifiere197213f-65bc-44f9-88b3-12d9bbc2efc2
dc.identifier85126520655
dc.identifier.citationElyan, E, Hussain, A, Sheikh, A, Vuttpittayamongkol, P & Hijazi, K 2022, 'Antimicrobial Resistance and Machine Learning : Challenges and Opportunities', IEEE Access, vol. 10, pp. 31561 - 31577. https://doi.org/10.1109/ACCESS.2022.3160213en
dc.identifier.doi10.1109/ACCESS.2022.3160213
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/2164/19072
dc.identifier.vol10en
dc.language.isoeng
dc.relation.ispartofIEEE Accessen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectAMRen
dc.subjectAntimicrobial resistanceen
dc.subjectMachine learningen
dc.subjectLMICsen
dc.subjectRK Dentistryen
dc.subject.lccRKen
dc.titleAntimicrobial Resistance and Machine Learning : Challenges and Opportunitiesen
dc.typeJournal articleen

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