Machine learning applications healthcare (69 Ergebnisse)

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Zustand: New. In English.

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Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 379 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New. 2018. 1st ed. Paperback. . . . . . Books ship from the US and Ireland.

paperback. Zustand: Sehr gut. 134 Seiten; 9781789536591.2 Gewicht in Gramm: 500.

Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Machine Learning in Healthcare | Fundamentals and Recent Applications | Bikesh Kumar Singh (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9780367564438 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu. …

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Zustand: New.

Taschenbuch. Zustand: Neu. Machine Learning Applications Using Python | Cases Studies from Healthcare, Retail, and Finance | Puneet Mathur | Taschenbuch | xviii | Englisch | 2018 | Apress | EAN 9781484237861 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Zustand: Neu. Neuware - The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. - Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records - Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems - Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services - Discusses unsupervised genetic algorithm-based automatic heart disease prediction - Covers Internet of Things-based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.…

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 484 | Sprache: Englisch | Produktart: Bücher | This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspectivethat does not requirea background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics.The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.The book is chiefly intended for undergraduate and graduate students who are taking an introductory course in machine learning. It will also benefit data analysts and anyone interested in learning ML approaches.…

Hardcover. Zustand: Brand New. 1st edition. 400 pages. 9.25x6.25x1.25 inches. In Stock.