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Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer : Systematic Review

dc.contributor.authorJones, Owain T
dc.contributor.authorCalanzani, Natalia
dc.contributor.authorSaji, Smiji
dc.contributor.authorDuffy, Stephen W
dc.contributor.authorEmery, Jon
dc.contributor.authorHamilton, Willie
dc.contributor.authorSingh, Hardeep
dc.contributor.authorWit, Niek J de
dc.contributor.authorWalter, Fiona M
dc.date.accessioned2023-12-21T00:05:01Z
dc.date.available2023-12-21T00:05:01Z
dc.date.issued2021-03-03
dc.identifier225742297
dc.identifiera7e7eddd-4124-416c-9f47-a5d747f5fcd0
dc.identifier.citationJones , O T , Calanzani , N , Saji , S , Duffy , S W , Emery , J , Hamilton , W , Singh , H , Wit , N J D & Walter , F M 2021 , ' Artificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer : Systematic Review ' , Journal of Medical Internet Research , vol. 23 , no. 3 , e23483 . https://doi.org/10.2196/23483en
dc.identifier.issn1439-4456
dc.identifier.otherORCID: /0000-0002-5068-2543/work/89851792
dc.identifier.urihttp://aura-test.abdn.ac.uk/handle/2164/20023
dc.descriptionAcknowledgments This research was funded by the National Institute for Health Research (NIHR) Policy Research Programme, conducted through the Policy Research Unit in Cancer Awareness, Screening, and Early Diagnosis, PR-PRU-1217-21601. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. This work was also supported by the CanTest Collaborative (funded by Cancer Research UK C8640/A23385), of which FW and WH are directors and JE, HS, and NdW are associate directors. HS is additionally supported by the Houston Veterans Administration Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety (CIN13-413) and the Agency for Healthcare Research and Quality (R01HS27363). The funding sources had no role in the study design, data collection, data analysis, data interpretation, writing of the report, or the decision to submit for publication. The authors would like to thank Isla Kuhn, Reader Services Librarian, University of Cambridge Medical Library, for her help in developing the search strategy.en
dc.format.extent27
dc.format.extent1409134
dc.language.isoeng
dc.relation.ispartofJournal of Medical Internet Researchen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectartificial intelligenceen
dc.subjectmachine learningen
dc.subjectelectronic health recordsen
dc.subjectearly detection of canceren
dc.subjectprimary health careen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectNational Institute for Health Research (NIHR)en
dc.subjectPR-PRU-1217-21601en
dc.subjectCancer Research UKen
dc.subjectC8640/A23385en
dc.subjectSupplementary Informationen
dc.subject.lccQA75en
dc.titleArtificial Intelligence Techniques That May Be Applied to Primary Care Data to Facilitate Earlier Diagnosis of Cancer : Systematic Reviewen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doihttps://doi.org/10.2196/23483
dc.identifier.urlhttps://doi.org/10.2196/23483en
dc.identifier.vol23en
dc.identifier.iss3en


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