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DC Field | Value | Language |
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dc.contributor.author | Subasinghe, M | - |
dc.contributor.author | Magalage, D | - |
dc.contributor.author | Amadoru, N | - |
dc.contributor.author | Amarathunga, L | - |
dc.contributor.author | Bhanupriya, N | - |
dc.contributor.author | Wijekoon, J | - |
dc.date.accessioned | 2022-02-21T04:01:45Z | - |
dc.date.available | 2022-02-21T04:01:45Z | - |
dc.date.issued | 2020-11-04 | - |
dc.identifier.citation | M. Subasinghe, D. Magalage, N. Amadoru, L. Amarathunga, N. Bhanupriya and J. L. Wijekoon, "Effectiveness of artificial intelligence, decentralized and distributed systems for prediction and secure channelling for Medical Tourism," 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2020, pp. 0314-0319, doi: 10.1109/IEMCON51383.2020.9284898. | en_US |
dc.identifier.issn | 2644-3163 | - |
dc.identifier.uri | http://rda.sliit.lk/handle/123456789/1289 | - |
dc.description.abstract | Good health and wellbeing, a sustainable development goal introduced by the United Nations to be achieved by 2030. Sri Lanka is a country that highly depends on tourism. A healthcare system which consists of high quality and low-cost services and an abundance of tourist attractions makes Sri Lanka to be one of the best medical tourism destinations. Tourism and travel have contributed to the GDP of Sri Lanka by 11.1 billion USD by 2018. Lack of technological advancements within the medical sector has drawn back the ability to smoothly cater medical tourism. The proposed system aims for an advanced technological improvement that would help in further developing and contributing to medical tourism. To this end, this paper introduces an Intelligent System for Secure Channeling platform that aids medical tourism with the help of artificial intelligence and blockchain technologies. System proposes a treatment prediction and suggesting the best doctor for it and a secured network to store and access electronic health records (EHR). The yielded results show that the proposed method successfully performed treatment prediction with 79-88% accuracy. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);Pages 0314-0319 | - |
dc.subject | Effectiveness | en_US |
dc.subject | artificial intelligence | en_US |
dc.subject | decentralized | en_US |
dc.subject | distributed systems | en_US |
dc.subject | prediction | en_US |
dc.subject | secure channelling | en_US |
dc.subject | Medical Tourism | en_US |
dc.title | Effectiveness of artificial intelligence, decentralized and distributed systems for prediction and secure channelling for Medical Tourism | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/IEMCON51383.2020.9284898 | en_US |
Appears in Collections: | Department of Computer Systems Engineering-Scopes Research Papers - Dept of Computer Systems Engineering Research Papers - IEEE Research Papers - SLIIT Staff Publications |
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Effectiveness_of_artificial_intelligence_decentralized_and_distributed_systems_for_prediction_and_secure_channelling_for_Medical_Tourism.pdf Until 2050-12-31 | 626.67 kB | Adobe PDF | View/Open Request a copy |
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