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Springer - Artificial Intelligence and Data Mining in Healthcare

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Description

Explore the intersection of technology and medical management with Artificial Intelligence and Data Mining in Healthcare by Springer. This book provides a comprehensive look at recent advancements in healthcare engineering and management through the lens of advanced computational techniques. Readers will find detailed insights into how predictive mining and decision support systems can transform medical operations. The text covers essential technical applications including capacity management, patient flow optimization, and image compression. By examining data clustering and feature selection, this work offers a practical guide to managing complex medical datasets. This resource is designed for academic and professional growth. It serves as a valuable asset for researchers and postgraduate students specializing in computer science, information technology, industrial engineering, and applied mathematics. Whether you are studying data mining or looking to implement engineering solutions in a healthcare setting, this book provides the necessary technical foundation.

Key Features

Covers essential healthcare management topics including predictive mining and decision support systems for improved operational outcomes.

Provides technical guidance on optimizing facility efficiency through capacity management and patient flow optimization strategies.

Explores advanced data processing methods such as image compression, data clustering, and feature selection for medical applications.

Designed as a high-level resource for postgraduate students and researchers in computer science and information technology.

Applicable to diverse fields including industrial engineering and applied mathematics for healthcare engineering solutions.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
26 January 2022
Listed Since
30 December 2021

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