Publicado por Mercury Learning and Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
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Publicado por Mercury Learning and Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Publicado por Mercury Learning and Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
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Publicado por Mercury Learning and Information 8/14/2025, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
Idioma: Inglés
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Añadir al carritoPaperback or Softback. Condición: New. Artificial Intelligence in Healthcare: Clinical Decision Support and Modeling. Book.
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Publicado por Mercury Learning and Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
Idioma: Inglés
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Publicado por Mercury Learning and Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Mercury Learning & Information, 2025
ISBN 10: 1501523775 ISBN 13: 9781501523779
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 450 pages. 7.50x1.06x9.25 inches. In Stock.
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Publicado por Springer-Verlag New York Inc, 2011
ISBN 10: 3642225888 ISBN 13: 9783642225888
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 1st edition. 273 pages. 9.21x6.06x0.63 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - The field of healthcare is being transformed by artificial intelligence (AI). Professionals need to comprehend the potential impact of AI on clinical decision support and epidemiological modeling. This comprehensive guide helps bridge the gap between theory and practice, providing readers with the knowledge and skills needed to leverage AI in healthcare.The book covers a broad range of topics, from the basics of AI and machine learning to the creation and assessment of clinical decision support systems. It also covers the use of state-of-the-art AI methods for disease surveillance and outbreak prediction. Through a mix of theoretical explanations, practical examples, and hands-on exercises, readers will learn how to prepare and manipulate clinical and epidemiological datasets, build, and implement cutting-edge AI solutions, and address the ethical considerations and challenges of applying AI in healthcare.What makes this book unique is its combination of expert insights from a practitioner's perspective, real-world case studies, and a practical approach to walk readers through the process of developing and implementing AI solutions. Additional online resources, like datasets, code samples, and case studies, further enrich the learning experience.Whether you are a healthcare professional looking to enhance patient outcomes, a data scientist striving to create innovative AI solutions, or a student eager to explore the frontiers of healthcare technology, this book is an essential resource.
Publicado por Our Knowledge Publishing, 2021
ISBN 10: 6204055240 ISBN 13: 9786204055244
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 64,65
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Añadir al carritoTaschenbuch. Condición: Neu. Modeling and decision simulation in public policy | Contribution of artificial intelligence to decision diagnosis and the digital transformation of governance | Ali Guidara | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786204055244 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Librería: Buchpark, Trebbin, Alemania
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Idioma: Inglés
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 176,93
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Añadir al carritoPaperback. Condición: new. Paperback. This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San Jose, Costa Rica, July 1519, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: California Books, Miami, FL, Estados Unidos de America
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Publicado por Springer Nature Switzerland, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Idioma: Inglés
Librería: preigu, Osnabrück, Alemania
EUR 141,05
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Añadir al carritoTaschenbuch. Condición: Neu. Data Science, Classification, and Artificial Intelligence for Modeling Decision Making | Javier Trejos (u. a.) | Taschenbuch | xii | Englisch | 2025 | Springer Nature Switzerland | EAN 9783031858697 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Publicado por Springer International Publishing AG, Cham, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 172,80
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Añadir al carritoPaperback. Condición: new. Paperback. This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San Jose, Costa Rica, July 1519, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Springer Nature Switzerland, Springer International Publishing, 2025
ISBN 10: 3031858697 ISBN 13: 9783031858697
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 160,49
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers selected and peer-reviewed contributions presented at the 18th Conference of the International Federation of Classification Societies (IFCS 2024), held in San José, Costa Rica, July 15 19, 2024. Covering a wide range of topics, it describes modern methods and real-world applications in data science, classification, and artificial intelligence related to modeling decision making.Numerous novel techniques and innovative applications are investigated, such as anomaly detection in public procurement processes, multivariate functional data clustering, air pollution prediction, benchmark generation for probabilistic planning, recommendation systems based on symbolic data analysis, and methods for clustering mixed-type data. Advanced statistical concepts are explored, including Vapnik-Chervonenkis dimensionality, Riemannian statistics, hypothesis testing for interval-valued data, and mixed models. Furthermore, machine learning techniques are applied to predict soil bacterial and fungal communities, classify electoral behavior and political competition, and assess corrosion degradation in mining pipelines.The diversity of topics discussed in this collection reflects the ongoing advancement and interdisciplinary nature of statistical and data science research, as well as its application across various fields and sectors. These studies contribute to the development of robust methodologies and efficient computational tools to address complex challenges in the era of big data. The book is intended for researchers and practitioners seeking the latest developments and applications in the field of data science and classification.