Swarm Intelligence and its Applications by A. Sheik Abdullah (.PDF)

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Swarm Intelligence and its Applications in Biomedical Informatics by A. Sheik Abdullah
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Overview: Swarm Intelligence and Its Applications in Biomedical Informatics discusses Artificial Intelligence (AI) applications in medicine and biology, as well as challenges and opportunities presented in these arenas. It covers healthcare Big Data analytics, mobile health, personalized medicine, and clinical trial data management. This book shows how AI can be used for early disease diagnosis, prediction, and prognosis, and it offers healthcare case studies that demonstrate the application of AI and Machine Learning. Swarm intelligence corresponds to a collection of quantified algorithms that simulate natural learning behavior in a system of individuals that synchronize using self-organizing and distributed control mechanism. The working principle of the algorithms focuses toward the collective behavior inference, which results from interactions among individuals in the group and with the environment. Algorithms such as Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Bee-based Harmony Search (BHS), Stochastic Diffusion Search, Bat Algorithm, Multi-Swarm Optimization (MSO), and Cuckoo Search work according to the behavior of nature.
Genre: Non-Fiction > Tech & Devices

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