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Federated Learning and AI for Healthcare 5.0 - Hardcover

 
9798369310823: Federated Learning and AI for Healthcare 5.0

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The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing’s role in managing data and advocating for security measures. It explores federated learning’s use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.

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Über die Autorin bzw. den Autor

Ahdi Hassan has been Associate or Consulting Editor of numerous journals and also served the editorial review board from 2013- to till now. He has a number of publications and research papers published in various domains. He has given contribution with the major roles such as using modern and scientific techniques to work with sounds and meanings of words, studying the relationship between the written and spoken formats of various Asian/European languages, developing the artificial languages in coherence with modern English language, and scientifically approaching the various ancient written material to trace its origin. He teaches topics connected but not limited to communication such as English for Young Learners, English for Academic Purposes, English for Science, Technology and Engineering, English for Business and Entrepreneurship, Business Intensive Course, Applied Linguistics, interpersonal communication, verbal and nonverbal communication, cross cultural competence, language and humor, intercultural communication, culture and humor, language acquisition and language in use.

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ISBN 13: 9798369310823
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