£111.23

Springer Explainable AI in Health Informatics Book

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Description

Explore the intersection of artificial intelligence and medical data with Explainable AI in Health Informatics. Published by Springer as part of the Computational Intelligence Methods and Applications series, this book addresses the growing need for transparency in healthcare technology. As machine learning becomes a standard part of medical workflows, understanding the logic behind automated decisions becomes a priority for professionals. This text provides a foundation for studying how computational intelligence methods can be applied to health informatics while maintaining clarity and accountability. Designed for those studying computer science, AI, and machine learning, this resource offers a focused look at the methods used to make complex algorithms interpretable within clinical settings. It serves as a specialized addition to your academic or professional library, focusing on the technical applications of explainable AI in the medical field.

Key Features

Part of the Springer Computational Intelligence Methods and Applications series for academic depth.

Focuses on the application of explainable AI within the field of health informatics.

Covers essential computational intelligence methods used in modern medical data science.

Targeted toward professionals and students in AI, machine learning, and computer science.

Provides a technical perspective on making complex algorithms understandable for healthcare use.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 July 2024
Listed Since
26 April 2024

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