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  7. Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

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Description

In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and reflects on their diversity and complexity.

Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics

presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning research. It provides many case studies and a panoramic view of data and machine learning techniques, providing the opportunity for novel insights and discoveries. The book explores the theory and practical applications in healthcare and includes a guided tour of machine learning algorithms, architecture design and interdisciplinary challenges.

This book is useful for research scholars and students involved in critical condition analysis and computation models.

Spécifications

Parties prenantes

Editeur:

Contenu

Nombre de pages :
224
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9780367676339
Date de parution :
10-03-22
Format:
Livre relié
Format numérique:
Genaaid
Dimensions :
156 mm x 234 mm
Poids :
517 g

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