ORCID Profile
0000-0001-7953-3958
Current Organisation
University of Tasmania
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Publisher: ACM
Date: 20-02-2012
Publisher: MDPI AG
Date: 27-06-2016
DOI: 10.3390/S16070980
Publisher: Association for Computing Machinery (ACM)
Date: 18-07-2021
DOI: 10.1145/3460287
Abstract: Unprecedented attention towards blockchain technology is serving as a game-changer in fostering the development of blockchain-enabled distinctive frameworks. However, fragmentation unleashed by its underlying concepts hinders different stakeholders from effectively utilizing blockchain-supported services, resulting in the obstruction of its wide-scale adoption. To explore synergies among the isolated frameworks requires comprehensively studying inter-blockchain communication approaches. These approaches broadly come under the umbrella of Blockchain Interoperability (BI) notion, as it can facilitate a novel paradigm of an integrated blockchain ecosystem that connects state-of-the-art disparate blockchains. Currently, there is a lack of studies that comprehensively review BI, which works as a stumbling block in its development. Therefore, this article aims to articulate potential of BI by reviewing it from erse perspectives. Beginning with a glance of blockchain architecture fundamentals, this article discusses its associated platforms, taxonomy, and consensus mechanisms. Subsequently, it argues about BI’s requirement by exemplifying its potential opportunities and application areas. Concerning BI, an architecture seems to be a missing link. Hence, this article introduces a layered architecture for the effective development of protocols and methods for interoperable blockchains. Furthermore, this article proposes an in-depth BI research taxonomy and provides an insight into the state-of-the-art projects. Finally, it determines possible open challenges and future research in the domain.
Publisher: IEEE
Date: 09-2017
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 05-2021
Publisher: IEEE
Date: 10-2013
Publisher: Springer Science and Business Media LLC
Date: 02-07-2015
Publisher: Springer Science and Business Media LLC
Date: 18-10-2014
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 2022
Publisher: MDPI AG
Date: 10-08-2016
DOI: 10.3390/S16081264
Publisher: Informa UK Limited
Date: 18-12-2015
Publisher: Springer Science and Business Media LLC
Date: 26-06-2014
DOI: 10.1007/S10916-014-0028-Y
Abstract: Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This ersity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous formats for achieving data interoperability. We propose an adaptive AdapteR Interoperability ENgine mediation system called ARIEN, that arbitrates between HISs compliant to different healthcare standards for accurate and seamless information exchange to achieve data interoperability. ARIEN stores the semantic mapping information between different standards in the Mediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by our System for Parallel Heterogeneity (SPHeRe) matching system and Personalized-Detailed Clinical Model (P-DCM) approach to guarantee accuracy of mappings. The realization of the effectiveness of the mappings stored in the MBO is evaluation of the accuracy in transformation process among different standard formats. We evaluated our proposed system with the transformation process of medical records between Clinical Document Architecture (CDA) and Virtual Medical Record (vMR) standards. The transformation process achieved over 90 % of accuracy level in conversion process between CDA and vMR standards using pattern oriented approach from the MBO. The proposed mediation system improves the overall communication process between HISs. It provides an accurate and seamless medical information exchange to ensure data interoperability and timely healthcare services to patients.
Publisher: Springer International Publishing
Date: 2018
Publisher: MDPI AG
Date: 20-11-2014
DOI: 10.3390/S141122001
Publisher: Mary Ann Liebert Inc
Date: 08-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2020
Publisher: ACM
Date: 05-01-2018
Publisher: Springer Science and Business Media LLC
Date: 29-01-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Springer International Publishing
Date: 2018
Publisher: IEEE
Date: 09-2017
Publisher: Elsevier BV
Date: 04-2018
Publisher: Springer Science and Business Media LLC
Date: 07-2016
Publisher: IEEE
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Elsevier BV
Date: 10-2022
Publisher: IEEE
Date: 08-2012
Publisher: SAGE Publications
Date: 06-03-2015
Abstract: The Semantic Web is dependent on extensive knowledge management by interlinking resources on the web using matching techniques. This role is played by the progressing domain of ontology matching, by introducing ontology-matching tools. The focus of these matching tools is limited to matching techniques and automation, rather than expressive formal representation of alignments. We propose Mediation Bridge Ontology (MBO), an expressive alignment representation ontology used to store correspondences between matching ontologies matched by our ontology-matching tool, System for Parallel Heterogeneity Resolution (SPHeRe). The MBO utilizes object-oriented design patterns and the proposed ontology-alignment design patterns to provide extendibility and reusability factors to SPHeRe system. We compared our proposed system with existing systems using Coupling Factor, Number of Polymorphic methods and Rate of Change metrics to support extendibility and reusability. These factors contribute to the overall objective of interoperability for knowledge management in the Semantic Web.
Publisher: Elsevier BV
Date: 2018
DOI: 10.1016/J.IJMEDINF.2017.11.004
Abstract: Medical students should be able to actively apply clinical reasoning skills to further their interpretative, diagnostic, and treatment skills in a non-obtrusive and scalable way. Case-Based Learning (CBL) approach has been receiving attention in medical education as it is a student-centered teaching methodology that exposes students to real-world scenarios that need to be solved using their reasoning skills and existing theoretical knowledge. In this paper, we propose an interactive CBL System, called iCBLS, which supports the development of collaborative clinical reasoning skills for medical students in an online environment. The iCBLS consists of three modules: (i) system administration (SA), (ii) clinical case creation (CCC) with an innovative semi-automatic approach, and (iii) case formulation (CF) through intervention of medical students' and teachers' knowledge. Two evaluations under the umbrella of the context/input rocess roduct (CIPP) model have been performed with a Glycemia study. The first focused on the system satisfaction, evaluated by 54 students. The latter aimed to evaluate the system effectiveness, simulated by 155 students. The results show a high success rate of 70% for students' interaction, 76.4% for group learning, 72.8% for solo learning, and 74.6% for improved clinical skills.
Publisher: IEEE
Date: 10-2012
Publisher: IEEE
Date: 05-2013
Publisher: ACM
Date: 05-01-2018
Publisher: Elsevier BV
Date: 05-2018
Publisher: ICST
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 08-03-2015
Publisher: Springer Science and Business Media LLC
Date: 27-03-2013
No related grants have been discovered for Muhammad Amin.