Abstract
The objective of the paper was to propose a diversified insulin-associated beta-behavioral and endogenously triggered exposed symptoms (DIABETES) model due to multiple factors so as to suggest medical remedies to improve the avoidance of diabetes disease. The various causes and their chances toward the most common diabetes effects including deaths in the nation are modeled as an diversified insulin association. The regional, social, biological and cultural aspects of the Indian community are considered to model the diabetes that of different categories. The performance and the correctness of the model are determined by considering the heterogeneity due to different factors that are specified as proposed IAB-ETES process algebra. The model-driven approach needs restricted operations on the variables to supplement any health care information system. The individual human responsibility and societal awareness along with the health regulation acts can minimize the vulnerability of the disease if the information technology for biological system complies with the enforcement acts of the developing nation.
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Raja Rajeswari, P., Subramaniam, C., Appa Rao, A. (2015). Diversified Insulin-Associated Beta-Behavioral and Endogenously Triggered Exposed Symptoms (DIABETES) Model of Diabetes in India. In: Muppalaneni, N., Gunjan, V. (eds) Computational Intelligence Techniques for Comparative Genomics. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-287-338-5_1
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