Computational Intelligence and Blockchain by Pankaj Bhambri (.PDF)

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Computational Intelligence and Blockchain in Biomedical and Health Informatics by Pankaj Bhambri, Sita Rani, Muhammad Fahim
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Overview: Advancements in computational intelligence, which encompasses Artificial Intelligence, Machine Learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data. Machine Learning, on the other hand, takes advantage of methods that allow computers to discover patterns and make predictions without being explicitly programmed to do so. Models are trained using labelled data in supervised learning, while unlabelled data is used in unsupervised learning. Decision trees, support vector machines, and neural networks are all examples of common Machine Learning methods.
Genre: Non-Fiction > Tech & Devices

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