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Design and Forecasting Models for Disease Management

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Éditeur :

Wiley-Scrivener


Paru le : 2025-02-24

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Description

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.
Pages
336 pages
Collection
n.c
Parution
2025-02-24
Marque
Wiley-Scrivener
EAN papier
9781394234042
EAN PDF
9781394234066
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
88852 Ko
Prix
227,88 €
EAN EPUB
9781394234059
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
336
Taille du fichier
10220 Ko
Prix
227,88 €

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