| dc.contributor.author | Elyan, Eyad | |
| dc.contributor.author | Hussain, A. | |
| dc.contributor.author | Sheikh, Aziz | |
| dc.contributor.author | Vuttpittayamongkol, Pattaramon | |
| dc.contributor.author | Hijazi, Karolin | |
| dc.date.accessioned | 2022-08-17T11:24:01Z | |
| dc.date.available | 2022-08-17T11:24:01Z | |
| dc.date.issued | 2022 | |
| dc.identifier | 214851412 | |
| dc.identifier | e197213f-65bc-44f9-88b3-12d9bbc2efc2 | |
| dc.identifier | 85126520655 | |
| dc.identifier.citation | Elyan , 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.2022.3160213 | en |
| dc.identifier.issn | 2169-3536 | |
| dc.identifier.uri | https://hdl.handle.net/2164/19072 | |
| dc.description | ACKNOWLEDGMENT The authors would like to thank Global Challenge Research Fund (GCRF) for supporting this work | en |
| dc.format.extent | 17 | |
| dc.format.extent | 1130968 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | IEEE Access | en |
| dc.subject | SDG 3 - Good Health and Well-being | en |
| dc.subject | AMR | en |
| dc.subject | Antimicrobial resistance | en |
| dc.subject | Machine learning | en |
| dc.subject | LMICs | en |
| dc.subject | RK Dentistry | en |
| dc.subject.lcc | RK | en |
| dc.title | Antimicrobial Resistance and Machine Learning : Challenges and Opportunities | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Dental Education | en |
| dc.contributor.institution | University of Aberdeen.Institute of Medical Sciences | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | 10.1109/ACCESS.2022.3160213 | |
