Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics Hardback
Edited by Abhishek Kumar, Ashutosh Kumar Dubey, Sreenatha G. Anavatti, Pramod Singh Rathore
Part of the Innovations in Big Data and Machine Learning series
Hardback
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.
Information
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Out of stock
- Format:Hardback
- Pages:224 pages, 5 Tables, black and white; 54 Line drawings, black and white; 52 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:10/03/2022
- Category:
- ISBN:9780367676339
Information
-
Out of stock
- Format:Hardback
- Pages:224 pages, 5 Tables, black and white; 54 Line drawings, black and white; 52 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:10/03/2022
- Category:
- ISBN:9780367676339
