Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1484
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dc.contributor.authorWijayathilaka, P.L.-
dc.contributor.authorPahala Gamage, P.H.-
dc.contributor.authorDe Silva, K.H.B.-
dc.contributor.authorAthukorala, A.P.P.S.-
dc.contributor.authorKahandawaarachchi, K.A.D.C.P.-
dc.contributor.authorPulasinghe, K.N.-
dc.date.accessioned2022-03-04T03:58:09Z-
dc.date.available2022-03-04T03:58:09Z-
dc.date.issued2020-12-10-
dc.identifier.isbn978-1-7281-8412-8-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1484-
dc.description.abstractThe scarcity and exigency for blood and organs has created many discrepancies in current approaches. These have created the criteria for malpractices such as organ trafficking and black market selling. This research presents a solution with a secured-smart blood and organ donation web developed system, allowing both patients and healthcare providers to access information about the blood and organ processing records. The database would be managed using the Blockchain technology which could be only accessed by authorized users. Finally, tracking all registered donors, the proposed system generates a smart identity developed by Ethereum Smart Contract (ESC). System predicts blood demand for the future ten years using Linear Regression Model with 0.998 of high R-squared accuracy value. This reduces shortages and wastage of blood. Also, using global positioning system and K-Nearest Neighbors Machine Learning algorithm, the system finds the best matches among donors and seekers according to the nearest location. Further, the system will automatically send questionnaires for registered users to identify and evaluate their awareness and issues about organ donation. Overall, this study aims for a secured and transparent web application. Thus, it facilitates an innovative and a productive blood donation and organ transplantation process in Sri Lankan healthcare sector.en_US
dc.language.isoenen_US
dc.publisher2020 2nd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.relation.ispartofseriesVol.1;-
dc.subjectBlockchain technologyen_US
dc.subjectK-Nearest Neighbor Algorithmen_US
dc.subjectblood predictionen_US
dc.subjectorgan transplantationen_US
dc.titleSecured, Intelligent Blood and Organ Donation Management System - “LifeShare”en_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC51239.2020.9357211en_US
Appears in Collections:2nd International Conference on Advancements in Computing (ICAC) | 2020
Department of Information Technology-Scopes

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