AI Techniques for Association Rule Mining in Medical Data : Trends and Practical Applications

Language: English

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

9798337366920

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Softcover

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nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid growth of electronic health records and biomedical repositories has created unprecedented opportunities to extract patterns from medical data. Among the most effective approaches for uncovering hidden relationships is association rule mining, a data mining technique designed to identify patterns and correlations among variables. In recent years, advances in artificial intelligence (AI) have significantly enhanced interpretability when dealing with complex medical datasets. AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications explores how AI is revolutionizing the process of discovering patterns and relationships in medical datasets. It examines how hybrid and intelligent models enable more accurate and clinically relevant pattern discovery in high-dimensional medical datasets. Covering topics such as AI, medical data, and medical technologies, this book is an excellent resource for academicians, data scientists, healthcare professionals, software engineers, AI developers, and graduate students.…

Seller Inventory # 9798337366920

Title
AI Techniques for Association Rule Mining in Medical Data : Trends and Practical Applications
Author
Anandhavalli Muniasamy
Publisher
IGI GLOBAL SCIENTIFIC PUBLISHING
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798337366920
Item weight
873 grams
Dimensions
254x178x25 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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