Medical data mining

Author: Cui Lei
Publisher:
Publish Date: 2006-07-01
Features: This book is the first domestic textbook on medical data mining, divided into three parts: Basic, Core, and Application. The Basic part introduces the fundamental concepts and theories of data mining, the Core part covers the main algorithms and tools, and the Application part presents specific applications of data mining in medical clinical practice, molecular biology, preventive medicine, hospital management, text mining, and web mining. The book first emphasizes the basic concepts and methods of data mining, focusing on the fundamental concepts, processes, and methods of the field. The algorithms are introduced primarily with their applicable conditions and principles, minimizing the inclusion of specific mathematical formulas for the algorithms. Additionally, the book focuses on applications, presenting examples of data mining methods in medical research and services to provide students with a foundation for further in-depth study in this field. Finally, the book strives for comprehensive and systematic content organization, highlighting key points while maintaining a progressive learning approach and emphasizing interdisciplinary characteristics. It also pays attention to the hierarchical structure of the knowledge presented, catering to readers of different levels. ... This book is the first domestic textbook on medical data mining, divided into three parts: Basic, Core, and Application.