Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI Techniques for Association Rule Mining in Medical Data: Trends and Practical Applications

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

Muniasamy, Anandhavalli

Hardcover

Medical ReferenceDatabasesGeneral Computers

Publisher Price: $275.00

ISBN13: 9798337366913
Publisher: Igi Global Scientific Publishing
Published: Feb 25 2026
Pages: 570
Weight: 2.25
Height: 1.00 Width: 7.00 Depth: 10.00
Language: English
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.

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