Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1289
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSubasinghe, M-
dc.contributor.authorMagalage, D-
dc.contributor.authorAmadoru, N-
dc.contributor.authorAmarathunga, L-
dc.contributor.authorBhanupriya, N-
dc.contributor.authorWijekoon, J-
dc.date.accessioned2022-02-21T04:01:45Z-
dc.date.available2022-02-21T04:01:45Z-
dc.date.issued2020-11-04-
dc.identifier.citationM. 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.issn2644-3163-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1289-
dc.description.abstractGood 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.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON);Pages 0314-0319-
dc.subjectEffectivenessen_US
dc.subjectartificial intelligenceen_US
dc.subjectdecentralizeden_US
dc.subjectdistributed systemsen_US
dc.subjectpredictionen_US
dc.subjectsecure channellingen_US
dc.subjectMedical Tourismen_US
dc.titleEffectiveness of artificial intelligence, decentralized and distributed systems for prediction and secure channelling for Medical Tourismen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/IEMCON51383.2020.9284898en_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



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.