Automated and Optimised Machine Learning Algorithms for Healthcare Informatics

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dc.contributor.authorJuyal, A.
dc.contributor.authorBhushan, B.
dc.contributor.authorHameed, A.A.
dc.contributor.authorJamil, A.
dc.contributor.authorPandey, S.
dc.date.accessioned2024-05-19T14:33:22Z
dc.date.available2024-05-19T14:33:22Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description2nd International Conference on Computing, IoT and Data Analytics, ICCIDA 2023 -- 20 July 2023 through 21 July 2023 -- -- 308639en_US
dc.description.abstractHealthcare is a rapidly expanding field with a substantial amount of heterogeneous data driving innumerable health-related tasks. Various healthcare service providers still rely on manual procedures, which can be time-consuming and require significant effort. To automate such manual operations, recent technological advances have emerged in the domain of Machine Learning (ML). ML falls under the subject of Artificial Intelligence (AI), and it gets combined with ‘big data’ to draw meaningful insights. The integration of ML in the healthcare sector has optimized decision-making and predictive analysis. This paper discusses the various application areas of ML in healthcare. Additionally, several ML algorithms used by other researchers in healthcare-related experiments are summarized. A brief review is provided regarding the experiments. This paper delineates the challenges associated with using ML in healthcare. Finally, the paper offers insights into future research directions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.en_US
dc.identifier.doi10.1007/978-3-031-53717-2_43
dc.identifier.endpage477en_US
dc.identifier.isbn9783031537165
dc.identifier.issn1860-949X
dc.identifier.scopus2-s2.0-85187989927en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage465en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-031-53717-2_43
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4205
dc.identifier.volume1145 SCIen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofStudies in Computational Intelligenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectAutomationen_US
dc.subjectHealthcareen_US
dc.subjectMachine Learningen_US
dc.subjectOptimizationen_US
dc.subjectSecurityen_US
dc.titleAutomated and Optimised Machine Learning Algorithms for Healthcare Informaticsen_US
dc.typeConference Objecten_US

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