Intelligent Data Analysis for Biomedical Applications

Nowadays, hospitals and health care institutions are well equipped with monitoring and advanced data collection devices, and are rapidly collecting and sharing the data, and advancing their information systems. This extensive amount of information and data stored in medical databases causes difficulties in extracting useful information for decision making.

Intelligent Data Analysis for Biomedical Applications presents specialized statistical, pattern recognition, machine learning, data abstraction, and visualization tools for analysis of data and discovery of mechanisms that created the data. It provides computational methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension. Emphasis is given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on.

This book provides useful references for educational institutions, industry, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases, particularly those who are interested in using these technologies in biomedical science.

• Provides methods and tools for Intelligent Data Analysis and gives solution for problems resulted from automated data collection
• Contains analysis of medical databases in order to provide diagnostic expert systems
• Addresses integration of Intelligent Data Analysis techniques within biomedical information systems