Intelligent Data Analysis for Biomedical Applications - (Intelligent Data-Centric Systems) (Paperback)
About this item
Highlights
- Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data.
- Author(s): D Jude Hemanth & Deepak Gupta & Valentina Emilia Balas
- 294 Pages
- Computers + Internet, Computer Engineering
- Series Name: Intelligent Data-Centric Systems
Description
About the Book
"The book presents specialized statistical, pattern recognition, machine learning, data abstraction, and visualization tools for analysis of data and discovery of the mechanisms that created the data. It also provides computational methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering data comprehension. Emphasis is given to solving the problems that 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. By presenting tools and methods for intelligent data analysis, this book teaches readers to extract useful information stored in medical databases for decision-making thus providing a useful reference for educational institutions, industry, researchers, scientists, engineers, 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"--Book Synopsis
Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.