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Añadir al carritoHardcover. Condición: new. Hardcover. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Publicado por Springer International Publishing AG, CH, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
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Publicado por Springer International Publishing AG, CH, 2023
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Añadir al carritoHardcover. Condición: new. Hardcover. Biomaterials play a vital role in medicine today, including restoring function and facilitating diagnosis and disease prevention. Biomaterial-based products consist of either natural or synthetic materials. Biomaterials derived from natural products can consist of materials such as proteins, polysaccharides, lipids, glycoproteins, lipoproteins, cellular matrix, and its components. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. They are also biocompatible, biodegradable, renewable, non-toxic, and capable of remodelling.Recently, scientists have been exploring the potential use of plant-based cellular matrix-based biomaterials for the treatment of various communicable and noncommunicable diseases, a trend that has attracted the attention of global biomedical research. Globally, there has been an increase in the need for more effective treatment and diagnostics as a result of the overwhelming disease burden in society. Current Applications of Nanobiomaterials, Volume 1 and Volume 2 together, outline the most widely used biomaterials derived from non-animal natural resources, such as plants, fungi, algae, and microbes, with a focus on novel therapeutic and diagnostic applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoHardcover. Condición: new. Hardcover. Biomaterials play a vital role in medicine today, including restoring function and facilitating diagnosis and disease prevention. Biomaterial-based products consist of either natural or synthetic materials. Biomaterials derived from natural products can consist of materials such as proteins, polysaccharides, lipids, glycoproteins, lipoproteins, cellular matrix, and its components. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. They are also biocompatible, biodegradable, renewable, non-toxic, and capable of remodelling.Recently, scientists have been exploring the potential use of plant-based cellular matrix-based biomaterials for the treatment of various communicable and noncommunicable diseases, a trend that has attracted the attention of global biomedical research. Globally, there has been an increase in the need for more effective treatment and diagnostics as a result of the overwhelming disease burden in society. Current Applications of Nanobiomaterials, Volume 1 and Volume 2 together, outline the most widely used biomaterials derived from non-animal natural resources, such as plants, fungi, algae, and microbes, with a focus on novel therapeutic and diagnostic applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
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Añadir al carritoCondición: New. This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infr.
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Añadir al carritoTaschenbuch. Condición: Neu. System Design for Epidemics Using Machine Learning and Deep Learning | G. R. Kanagachidambaresan (u. a.) | Taschenbuch | Signals and Communication Technology | xxii | Englisch | 2024 | Springer | EAN 9783031197543 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer International Publishing AG, CH, 2023
ISBN 10: 3031197518 ISBN 13: 9783031197512
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Añadir al carritoHardback. Condición: New. 2023 ed.
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.