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dc.contributor.authorMenekse Dalveren, Gonca Gokce
dc.contributor.authorMishra, Deepti
dc.date.accessioned2020-03-31T10:47:48Z
dc.date.available2020-03-31T10:47:48Z
dc.date.created2019-10-23T16:03:29Z
dc.date.issued2019
dc.identifier.isbn978-1-4503-7188-9
dc.identifier.urihttps://hdl.handle.net/11250/2649647
dc.description.abstractThis study presents a systematic literature review to provide overall view of the application of Software Engineering (SE) in Medical Informatics (MI) field. Articles published from 2010 to 2019 from seven selected databases (Emerald, PubMed, IEEE, ACM, Taylor Francis, SAGE and Wiley) were investigated. The existing literature was analyzed, and the emerging areas of research in the medical informatics field have been identified. According to the findings of this study, medical informatics research has been applied in many fields but there is still potential of further research in different areas. Most of the reviewed studies were conducted on data mining, decision support, deep learning and IoT. Also, it can be said that most of the applications are provided as web-based instead of mobile applications. To conclude, the results of this study provides insights to the researchers about the research directions and the gaps in the literature in the MI and SE fields.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofProceedings of the 9th International Conference on Information Communication and Management (ICICM 2019)
dc.titleSoftware Engineering in Medical Informatics: A Systematic Literature Reviewen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber112-117en_US
dc.identifier.doi10.1145/3357419.3357444
dc.identifier.cristin1739969
dc.description.localcode© ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published here, http://dx.doi.org/10.1145/3357419.3357444en_US
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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