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Springer Advanced Data Analytics in Health - Smart Innovation 93

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Description

Explore the evolving landscape of health data with Advanced Data Analytics in Health. Part of the Smart Innovation, Systems and Technologies series, this book provides a deep look into the methods, types of data, and scales of analysis used in modern healthcare settings. It addresses the complexities of working with big data while highlighting how linking large datasets leads to significant new discoveries. Readers gain practical knowledge through thorough statistical case studies and an exploration of modern analytics techniques. The text covers essential topics including data visualization, modeling, simulation, and machine learning. To provide a complete view of the field, the book examines diverse dataset types such as networked data, text, and image processing. This resource is designed for those looking to understand how advanced computational methods can be applied to solve real-world health challenges.

Key Features

Covers essential analytics methods including data visualization, modeling, simulation, and machine learning applications.

Explores the challenges and benefits of big data and the ability to make discoveries by linking large datasets.

Includes thorough case studies from statistics to provide practical context for theoretical concepts.

Examines diverse data types such as networked data, image processing, and text-based information.

Part of the Smart Innovation, Systems and Technologies series for specialized technical knowledge.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 January 2019
Listed Since
30 January 2019

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