TitleIntelligent Internet of Things and Management Science Based Service Oriented Architecture for Accuracy of Disease Diagnosis |
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AuthorsProf. Dr. Ghassan Azar, Lawrence Technological University, United States of AmericaAssist. Prof. Dr. Naser El-Bathy, Lawrence Technological University, United States of America |
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AbstractAccuracy of disease diagnosis is still the most critical problem in the area of healthcare despite implementation of new and advanced technologies. The cause is lack of an efficient scientific research. A novel resolution is established in this study. The goal of this research is to promptly measure the accuracy of doctor's diagnosis and to improve it if their diagnosis is not precise. It checks related diseases and its most excellent cure, removes redundant exams, and condense recovery time. Disease misdiagnosis is the third-leading cause of death after heart disease and cancer. More than 250,000 Americans die yearly due to medical errors. About 700 a day. The focus of this research, as reported in this paper, is to create such a resolution in the form of an Intelligent Internet of Things and Management Science Based Service Oriented Architecture for Accuracy of Disease Diagnosis. The solution main purpose is to design and structure an innovative intelligent concepts and technologies to ensure the accuracy of doctor's diagnosis and speed up their diagnosis' time. The proposed concepts increase the capacity, efficiency and quality of healthcare industry. In Service Oriented Architecture (SOA) environment, the solution of this research integrates an Internet-of-Things system along with a management science system using linear programming and network approaches. The validation of the concepts and techniques are verified via a prototype that is created and examined. |
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Keywordsscience, technology, internet of things |
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CitationAzar, G. & El-Bathy, N. (2019). Intelligent Internet of Things and Management Science Based Service Oriented Architecture for Accuracy of Disease Diagnosis. In M. Shelley & V. Akerson (Eds.), Proceedings of IConEST 2019--International Conference on Engineering, Science and Technology (pp. 45-53). Monument, CO, USA: ISTES Organization. Retrieved 21 November 2024 from 2019.iconest.net/proceedings/43/. |
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