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Chem2Side: : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images

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dc.contributor.authorArshed, Muhammad Asad
dc.contributor.authorIbrahim, Muhammad
dc.contributor.authorMumtaz, Shahzad
dc.contributor.authorTanveer, Muhammad
dc.contributor.authorAhmed, Saeed
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.date.accessioned2024-07-29T09:54:01Z
dc.date.available2024-07-29T09:54:01Z
dc.date.issued2023-12-16
dc.description.statusPeer revieweden
dc.format.extent19
dc.format.extent6532182
dc.identifier291526283
dc.identifier119da509-7168-44c8-bf7d-1b599bfc784e
dc.identifier85180548868
dc.identifier.citationArshed, M A, Ibrahim, M, Mumtaz, S, Tanveer, M & Ahmed, S 2023, 'Chem2Side: A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images', Information, vol. 14, no. 12, 663. https://doi.org/10.3390/info14120663en
dc.identifier.doi10.3390/info14120663
dc.identifier.iss12en
dc.identifier.issn2078-2489
dc.identifier.otherORCID: /0000-0003-2606-2405/work/148964174
dc.identifier.urihttps://hdl.handle.net/2164/23925
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85180548868&partnerID=8YFLogxKen
dc.identifier.vol14en
dc.language.isoeng
dc.relation.ispartofInformationen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectCOVID-19en
dc.subjectPix2Pixen
dc.subjectchemical structure imagesen
dc.subjectdeep learningen
dc.subjectdrug side effectsen
dc.subjectimage classificationen
dc.subjectmachine learningen
dc.subjectmedicineen
dc.subjectstable diffusionen
dc.subjecttransfer learningen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectInformation Systemsen
dc.subject.lccQA75en
dc.titleChem2Side: : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Imagesen
dc.typeJournal articleen

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