Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions
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AlbakiReads Editorial Computational approaches to biomedical data and decision support
Computational approaches to biomedical data and decision support
Focused on the practical challenges of extracting usable knowledge from biomedical information, this volume brings together statistical methods, pattern recognition, machine learning, data abstraction, and visualization. Its subject matter extends from automated data collection and computer-based patient records to data warehousing, intelligent alarms, and monitoring systems. The emphasis is on computational tools for analyzing data, identifying underlying mechanisms, and supporting decisions in database-driven healthcare contexts. As an edited collection, it frames biomedical data analysis as an intersection of computing methods and applied problem-solving.
Good fit for readers who enjoy
- Researchers and scientists working with biomedical data
- Engineers and practitioners interested in machine learning and knowledge discovery
- Students and professionals exploring clinical data systems and decision support
Themes
Biomedical data analysisMachine learningPattern recognitionClinical information systemsDecision support
Based on publisher information and book metadata.
Book Overview Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, ma...
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.
Book Details Format: Paperback | Pages: 294 | Language: English | Publisher: ACADEMIC PR INC | ISBN: 0128155531
FormatPaperback
Pages294
LanguageEnglish
ISBN0128155531
EAN9780128155530
PublisherACADEMIC PR INC
Publication Date2019-03-19
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight0.88 Pounds
Length9.0 Inches
Width6.0 Inches
Height0.62 Inches
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