Machine learning in the medical field: A comprehensive overview

dc.contributor.authorBelgacem, Ali
dc.contributor.authorKhoudi, Asmaa
dc.contributor.authorBoudane, Fatima
dc.contributor.authorBerrichi, Ali
dc.date.accessioned2024-01-18T06:57:13Z
dc.date.available2024-01-18T06:57:13Z
dc.date.issued2023
dc.description.abstractMachine learning utilization in medicine has increased interest over the last few years. With its impressive results in treating diseases and medical conditions, it will be important to understand and analyze how the scientific community has used it. Thus, opening up space for new research and opportunities in medicine. The objective of this study is to review the literature on machine learning applications in the medical sector. Therefore, we conducted an extensive research by reviewing recent studies and surveys on machine-learning health solutions. As a result, we offer, in this paper, a fresh study affirming the foundations and necessities of a machine learning application in the medical field. We also provide a breakdown of current research trends, which highlights future research opportunities.en_US
dc.identifier.isbn979-835034205-5
dc.identifier.uri10.1109/DASA59624.2023.10286546
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/12915
dc.identifier.urihttps://ieeexplore.ieee.org/document/10286546
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Incen_US
dc.relation.ispartofseries2023 International Conference on Decision Aid Sciences and Applications (DASA), Annaba, Algeria, 2023;pp. 103 - 108
dc.subjectDiseasesen_US
dc.subjectHealth Assessmenten_US
dc.subjectMachine Learningen_US
dc.subjectSmart health monitoringen_US
dc.titleMachine learning in the medical field: A comprehensive overviewen_US
dc.typeArticleen_US

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