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Springer Artificial Intelligence and Data Mining in Healthcare - Springer

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Description

This comprehensive book explores how artificial intelligence and data mining transform modern healthcare management and engineering. Chapters address predictive mining, decision support systems, capacity management, patient flow optimisation, image compression, data clustering, and feature selection techniques. Written for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics, the book combines theoretical foundations with practical applications in healthcare settings. Each contributed chapter provides insights into real-world implementations of AI-driven solutions for improving operational efficiency, diagnostic accuracy, and patient outcomes in health systems worldwide.

Key Features

The book covers predictive mining and decision support systems specifically designed for healthcare management applications.

Includes chapters on patient flow optimisation and capacity management to enhance hospital and clinic operations.

Addresses advanced data techniques including image compression, data clustering, and feature selection for medical data analysis.

Designed for researchers and postgraduate students in computer science, information technology, industrial engineering, and applied mathematics.

Product Specifications

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

Barcode

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