Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/6040
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dc.contributor.authorMansoor, C. M. M.-
dc.contributor.authorMohamed Nafrees, Abdul Cader-
dc.contributor.authorAysha Asra, S.-
dc.contributor.authorIssath Jahan, M. U.-
dc.date.accessioned2022-05-24T12:39:10Z-
dc.date.available2022-05-24T12:39:10Z-
dc.date.issued2022-05-15-
dc.identifier.citationICCET 2022: Applied Computational Technologies p. 311–322.en_US
dc.identifier.isbn978-981-19-2718-8-
dc.identifier.issn978-981-19-2719-5-
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/6040-
dc.description.abstractThere are many diseases threatening humans around the globe. Many of them are from the past centuries, and a few are newly discovered. This study has mainly focused on trending technologies such as Artificial Intelligence, Machine Learning, Big Data, Internet of Things that are used to predict diseases in the health sector. This study has collected data from the previously published articles from the reputed publishers using a systematic review approach, and these data were analyzed separately for each technology mentioned above. Studies confirmed that most of the research focused on IoT in the health sector. Furthermore, all the above technologies provide higher accuracy in predicting diseases. But, IoT provides higher accuracy than other emerging technologies for predicting most diseases. A few constraints of the study were the size of the dataset and missing quality qualities. In the end, it is recommended to study the security issues in IoT in the healthcare sector to predict and diagnose diseases.en_US
dc.language.isoen_USen_US
dc.publisherSpringer, Singaporeen_US
dc.subjectBig Dataen_US
dc.subjectInternet of Thingsen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachineen_US
dc.subjectLearningen_US
dc.titleA new paradigm for healthcare system using emerging technologiesen_US
dc.typeBook chapteren_US
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