A Machine Learning Model for Improving Healthcare on Cloud Computing - Abdelaziz Mohamed, Ahmed
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Recently, cloud computing gained an important role in healthcare services due to its ability to improve the healthcare performance. However, the optimal selection of virtual machines to process a medical request represents a big challenge. For that, it proposes a new model for healthcare based on cloud environment using Parallel Particle Swarm Optimization to optimize the virtual machines selection. In addition, a new model for chronic kidney disease diagnosis and prediction is proposed to measure the performance of our virtual machines model. The prediction model of chronic kidney disease is…mehr

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Produktbeschreibung
Recently, cloud computing gained an important role in healthcare services due to its ability to improve the healthcare performance. However, the optimal selection of virtual machines to process a medical request represents a big challenge. For that, it proposes a new model for healthcare based on cloud environment using Parallel Particle Swarm Optimization to optimize the virtual machines selection. In addition, a new model for chronic kidney disease diagnosis and prediction is proposed to measure the performance of our virtual machines model. The prediction model of chronic kidney disease is implemented using two consecutive techniques, which are linear regression and neural network.
Autorenporträt
Ahmed Abdelaziz received his Ph.D. degree in information systems. He is mainly interested in machine learning, cloud computing, big data and healthcare services. He has several publications in reputed and high impact journals published by Elsevier, and others. He worked as an assistant professor at higher technological institute, Cairo, Egypt.