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Herb-Drug Interactions: A Holistic Decision Support System in Healthcare

dc.contributor.authorMartins, Andreia
dc.contributor.authorMaia, Eva
dc.contributor.authorPraça, Isabel
dc.date.accessioned2023-10-31T12:21:47Z
dc.date.embargo2035
dc.date.issued2023-06-27
dc.description.abstractComplementary and alternative medicine are commonly used concomitantly with conventional medications leading to adverse drug reactions and even fatality in some cases. Furthermore, the vast possibility of herb-drug interactions prevents health professionals from remembering or manually searching them in a database. Decision support systems are a powerful tool that can be used to assist clinicians in making diagnostic and therapeutic decisions in patient care. Therefore, an original and hybrid decision support system was designed to identify herb-drug interactions, applying artificial intelligence techniques to identify new possible interactions. Different machine learning models will be used to strengthen the typical rules engine used in these cases. Thus, using the proposed system, the pharmacy community, people's first line of contact within the Healthcare System, will be able to make better and more accurate therapeutic decisions and mitigate possible adverse events.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/HealthCom54947.2022.9982729pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23812
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9982729pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectDecision support systemspt_PT
dc.subjectDrugspt_PT
dc.subjectDatabasespt_PT
dc.subjectMedical servicespt_PT
dc.subjectMachine learningpt_PT
dc.subjectReliabilitypt_PT
dc.subjectEnginespt_PT
dc.titleHerb-Drug Interactions: A Holistic Decision Support System in Healthcarept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.title2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom)pt_PT
person.familyNamePraça
person.givenNameIsabel
person.identifier299522
person.identifier.ciencia-idC710-4218-1BFF
person.identifier.orcid0000-0002-2519-9859
person.identifier.ridK-8430-2014
person.identifier.scopus-author-id22734900800
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationee4ecacd-c6c6-41e8-bca1-21a60ff05f50
relation.isAuthorOfPublication.latestForDiscoveryee4ecacd-c6c6-41e8-bca1-21a60ff05f50

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