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dc.contributor.authorJenssen, Marit Dagny Kristine
dc.contributor.authorBakkevoll, Per Atle
dc.contributor.authorNgo, Phuong
dc.contributor.authorBudrionis, Andrius
dc.contributor.authorFagerlund, Asbjørn Johansen
dc.contributor.authorTayefi, Maryam
dc.contributor.authorBellika, Johan Gustav
dc.contributor.authorGodtliebsen, Fred
dc.date.accessioned2021-06-30T11:40:14Z
dc.date.available2021-06-30T11:40:14Z
dc.date.issued2021-04-02
dc.description.abstractGiven the high prevalence and associated cost of chronic pain, it has a significant impact on individuals and society. Improvements in the treatment and management of chronic pain may increase patients’ quality of life and reduce societal costs. In this paper, we evaluate state-of-the-art machine learning approaches in chronic pain research. A literature search was conducted using the PubMed, IEEE Xplore, and the Association of Computing Machinery (ACM) Digital Library databases. Relevant studies were identified by screening titles and abstracts for keywords related to chronic pain and machine learning, followed by analysing full texts. Two hundred and eighty-seven publications were identified in the literature search. In total, fifty-three papers on chronic pain research and machine learning were reviewed. The review showed that while many studies have emphasised machine learning-based classification for the diagnosis of chronic pain, far less attention has been paid to the treatment and management of chronic pain. More research is needed on machine learning approaches to the treatment, rehabilitation, and self-management of chronic pain. As with other chronic conditions, patient involvement and self-management are crucial. In order to achieve this, patients with chronic pain need digital tools that can help them make decisions about their own treatment and care.en_US
dc.identifier.citationJenssen MDK, Bakkevoll Pa, Ngo P, Budrionis A, Fagerlund AJ, Tayefi M, Bellika JG, Godtliebsen F. Machine Learning in Chronic Pain Research: A Scoping Review. Applied Sciences. 2021;11(7)en_US
dc.identifier.cristinIDFRIDAID 1907727
dc.identifier.doi10.3390/app11073205
dc.identifier.issn2076-3417
dc.identifier.urihttps://hdl.handle.net/10037/21638
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.relation.journalApplied Sciences
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleMachine Learning in Chronic Pain Research: A Scoping Reviewen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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