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Inulin fermentation in germ-free rats associated with a human intestinal flora from methane or non-methane producers

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2021 IEEE 9th International Conference on Serious Games and Applications for Health(SeGAH)
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ISBN: 1665426497 1665426500 Year: 2021 Publisher: Piscataway, New Jersey : IEEE,

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The overall objectives of the conference are the discussion and sharing of knowledge, experiences and scientific and technical results, related to state of the art solutions and technologies on serious games and applications for health and healthcare, as well as the demonstration of advanced products and technologies.


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IoT Technologies for Health Care
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ISBN: 9783030991975 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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Artificial Intelligence in Medicine
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ISBN: 9783031093425 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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IoT technologies for health care : 8th EAI International Conference, HealthyIoT 2021 : virtual event, November 24-26, 2021 : proceedings
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ISBN: 3030991962 3030991970 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Artificial intelligence in medicine : 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, proceedings Artificial intelligence in medicine : 20th International Conference on Artificial Intelligence in Medicine, AIME 2022, Halifax, NS, Canada, June 14-17, 2022, proceedings
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ISBN: 3031093410 3031093429 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Explainable Machine Learning for Multimedia Based Healthcare Applications
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ISBN: 3031380363 3031380355 Year: 2023 Publisher: Cham, Switzerland : Springer,

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This book covers the latest research studies regarding Explainable Machine Learning used in multimedia-based healthcare applications. In this context, the content includes not only introductions for applied research efforts but also theoretical touches and discussions targeting open problems as well as future insights. In detail, a comprehensive topic coverage is ensured by focusing on remarkable healthcare problems solved with Artificial Intelligence. Because today’s conditions in medical data processing are often associated with multimedia, the book considers research studies with especially multimedia data processing.


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Computational intelligence for machine learning and healthcare informatics
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ISBN: 3110648199 Year: 2020 Publisher: Berlin ; Boston : De Gruyter,

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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare informatics, reflecting the diversity, complexity, and depth and breadth of this multi-disciplinary area.


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ICCMA 2017 : proceedings of 2017 the 5th International Conference on Control, Mechatronics and Automation : University of Alberta, Canada, October 11-13, 2017.
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Year: 2017 Publisher: New York : ACM,

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ICCMA provides a scientific platform for both local and international scientists, engineers and technologists who work in all aspects of Control, Mechatronics and Automation to exchange latest research results. In addition to the contributed papers, internationally well-known experts are also invited to deliver keynote and plenary speeches at ICCMA 2017.


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Artificial intelligence for drug development, precision medicine, and healthcare
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ISBN: 1000766721 0429345151 Year: 2020 Publisher: Boca Raton, FL : CRC Press,

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Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer sciences use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: Covers broad AI topics in drug development, precision medicine, and healthcare. Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. Introduces the similarity principle and related AI methods for both big and small data problems. Offers a balance of statistical and algorithm-based approaches to AI. Provides examples and real-world applications with hands-on R code. Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

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