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A new paradigm for healthcare system using emerging technologies

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dc.contributor.author Mansoor, C. M. M.
dc.contributor.author Mohamed Nafrees, Abdul Cader
dc.contributor.author Aysha Asra, S.
dc.contributor.author Issath Jahan, M. U.
dc.date.accessioned 2022-05-24T12:39:10Z
dc.date.available 2022-05-24T12:39:10Z
dc.date.issued 2022-05-15
dc.identifier.citation ICCET 2022: Applied Computational Technologies p. 311–322. en_US
dc.identifier.isbn 978-981-19-2718-8
dc.identifier.issn 978-981-19-2719-5
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/6040
dc.description.abstract There 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.iso en_US en_US
dc.publisher Springer, Singapore en_US
dc.subject Big Data en_US
dc.subject Internet of Things en_US
dc.subject Artificial Intelligence en_US
dc.subject Machine en_US
dc.subject Learning en_US
dc.title A new paradigm for healthcare system using emerging technologies en_US
dc.type Book chapter en_US


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