Items related to Design and Forecasting Models for Disease Management
- PublisherWiley-Scrivener
- Publication date2025
- ISBN 10 139423404X
- ISBN 13 9781394234042
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages336
- EditorDutta Pijush, Mandal Sudip, Cengiz Korhan, Sadhu Arindam, Jana Gour Gopal
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Design and Forecasting Models for Disease Management
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Design and Forecasting Models for Disease Management
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Design and Forecasting Models for Disease Management
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Design and Forecasting Models for Disease Management (Hardcover)
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John Wiley & Sons Inc, New York, 2025
ISBN 10: 139423404X
ISBN 13: 9781394234042
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Hardcover. Condition: new. Hardcover. The book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781394234042
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Design and Forecasting Models for Disease Management (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2025
ISBN 10: 139423404X
ISBN 13: 9781394234042
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Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
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Hardcover. Condition: new. Hardcover. The book provides an essential overview of AI techniques in disease management and how these computational methods can lead to further innovations in healthcare. Design and Forecasting Models for Disease Management is a resourceful volume of 13 chapters that elaborates on computational methods and how AI techniques can aid in smart disease management. It contains several statistical and AI techniques that can be used to acquire data on many different diseases. The main objective of this book is to demonstrate how AI techniques work for early disease detection and forecasting useful information for medical experts. As such, this volume intends to serve as a resource to elicit and elaborate on possible intelligent mechanisms for helping detect early signs of diseases. Additionally, the book examines numerous machine learning and data analysis techniques in the biomedical field that are used for detecting and forecasting disease management at the cellular level. It discusses various applications of image segmentation, data analysis techniques, and hybrid machine learning techniques for illnesses, and encompasses modeling, prediction, and diagnosis of disease data. Audience Researchers, engineers and graduate students in the fields of computational biology, information technology, bioinformatics, and epidemiology. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781394234042
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Design and Forecasting Models for Disease Management
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Design and Forecasting Models for Disease Management
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Design and Forecasting Models for Disease Management
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Hardcover. Condition: Brand New. 400 pages. 11.02x11.02x2.36 inches. In Stock. Seller Inventory # __139423404X
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