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Springer Geospatial Data Science in Healthcare Book

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Description

Geospatial Data Science in Healthcare for Society 5.0 by Springer explores the intersection of geographic information systems (GIS) and modern medical research. This book provides a comprehensive look at how multi-disciplinary approaches including artificial intelligence (AI), deep learning (DL), machine learning, and cloud computing can transform healthcare delivery. Readers will find a unique compendium regarding the current and emerging uses of geospatial data within the medical field. The text addresses the complexity of this multi-disciplinary area and examines how smart healthcare devices function to detect and analyze diseases. It serves as an essential resource for understanding the digital transformations required for Society 5.0 through the integration of disruptive technologies and advanced data management.

Key Features

This Springer publication covers advanced techniques in geographic information systems (GIS) and cloud computing for healthcare research.

The text integrates artificial intelligence (AI) and deep learning (DL) methodologies to enhance multi-disciplinary healthcare approaches.

Explore the emerging uses of geospatial data and its role in the digital transformation of Society 5.0.

Learn how smart healthcare devices are utilized to detect and analyze various diseases through data science.

The book provides a deep dive into machine learning applications within the complex field of geospatial healthcare data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 March 2022
Listed Since
10 December 2021

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