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AI and Neurology / Julian Bösel, Rohan Mathur, Lin Cheng, Marianna S. Varelas, Markus A. Hobert & José I. Suarez // Neurological Research and Practice. - . - . - ISSN: 2524-3489
9 pages
Ký hiệu phân loại (DDC): 610.28
Background Artificial Intelligence is influencing medicine on all levels. Neurology, one of the most complex and progressive medical disciplines, is no exception. No longer limited to neuroimaging, where data-driven approaches were initiated, machine and deep learning methodologies are taking neurologic diagnostics, prognostication, predictions, decision making and even therapy to very promising potentials.
Main body In this review, the basic principles of different types of Artificial Intelligence and the options to apply them to neurology are summarized. Examples of noteworthy studies on such applications are presented from the fields of acute and intensive care neurology, stroke, epilepsy, and movement disorders. Finally, these potentials are matched with risks and challenges jeopardizing ethics, safety and equality, that need to be heeded by neurologists welcoming Artificial Intelligence to their field of expertise.
Conclusion Artificial intelligence is and will be changing neurology. Studies need to be taken to the prospective level and algorithms undergo federated learning to reach generalizability. Neurologists need to master not only the benefits but also the risks in safety, ethics and equity of such data-driven form of medicine.
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Computational intelligence in software engineering / Witold Pedrycz, James F. Peters
Singapore : World Scientific, 1998
xiii, 485 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 006.3
This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts?With cont
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Data mining and machine learning : fundamental concepts and algorithms / Mohammed J. Zaki, Wagner Meira
United Kingdom ; New York, NY : Cambridge University Press, Cambridge, 2020
777 pages. : illustrations ; 26 cm.
Ký hiệu phân loại (DDC): 006.3
The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts.New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning
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Hands-on music generation with magenta : explore the role of deep learning in music generation and assisted music composition / Alexandre DuBreuil
England : Packt Publishing, 2020
348 pages. ; [cm.]
Ký hiệu phân loại (DDC): 780
The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation.
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