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Migration of Diabetes Diagnosis System to Service-Oriented Architectures: Using Decision Model and Notation

Migration of Diabetes Diagnosis System to Service-Oriented Architectures: Using Decision Model and Notation

Boumahdi Fatima, Rezoug Nachida, Madani Amina, Chalal Rachid
Copyright: © 2018 |Pages: 16
ISBN13: 9781522559511|ISBN10: 1522559515|EISBN13: 9781522559528
DOI: 10.4018/978-1-5225-5951-1.ch002
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MLA

Fatima, Boumahdi, et al. "Migration of Diabetes Diagnosis System to Service-Oriented Architectures: Using Decision Model and Notation." Multidisciplinary Approaches to Service-Oriented Engineering, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2018, pp. 27-42. https://doi.org/10.4018/978-1-5225-5951-1.ch002

APA

Fatima, B., Nachida, R., Amina, M., & Rachid, C. (2018). Migration of Diabetes Diagnosis System to Service-Oriented Architectures: Using Decision Model and Notation. In M. Khosrow-Pour, D.B.A. (Ed.), Multidisciplinary Approaches to Service-Oriented Engineering (pp. 27-42). IGI Global. https://doi.org/10.4018/978-1-5225-5951-1.ch002

Chicago

Fatima, Boumahdi, et al. "Migration of Diabetes Diagnosis System to Service-Oriented Architectures: Using Decision Model and Notation." In Multidisciplinary Approaches to Service-Oriented Engineering, edited by Mehdi Khosrow-Pour, D.B.A., 27-42. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5951-1.ch002

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Abstract

Studies in diabetic systems are vital for both diabetes patients and the medical industry because it is possible to use these systems to improve healthcare quality in several ways. These systems can help doctors to treat patients with all types of conditions. This research selected service oriented architecture with a decision aspect (SOAda) as the core architecture for the reason that it functions well when the domain decision is not adequately clear. This chapter demonstrates the study of the diabetes systems within service-oriented architecture and provides clinical management and advices for patients. Its aim is to (1) identify the current research state in the area, (2) assist in deriving the key problems and features with the SOAda, and (3) use these key features so that they could serve as a guide in the development of a new tool to address the decision problems in SOAda.

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