Data Mining In Biomedical Imaging, Signaling, And Systems

 ( Book Product ) 

• Data Mining in Biomedical Imaging, Signaling, and Systems available on November 10 2023 from BiggerBooks for 114.61
  
• Data Mining in Biomedical Imaging, Signaling, and Systems available on August 01 2015 from ECampus for 113.05
  
• Data Mining In Biomedical Imaging, Signaling, And Systems available on June 07 2015 from Indigo for 161.5
  
• ISBN bar code 9781439839386 ξ1 registered November 10 2023
  
• ISBN bar code 9781439839386 ξ2 registered July 21 2013
  
• ISBN bar code 9781439839386 ξ3 registered June 07 2015
  
• Product category is Data Mining in Biomedical Imaging, Signaling, and Systems, 9781439839386, Book, Textbook Book

• Sku # 9781439839386N
  
• Sku # 978143983938
  

It can help to extract hidden features from patient groups and disease states and can aid in automated decision making.Data Mining in Biomedical Imaging, Signaling, and Systemsprovides an in-depth examination of the biomedical and clinical applications of data mining. It supplies examples of frequently encountered heterogeneous data modalities and details the applicability of data mining approaches used to address the computational challenges in analyzing complex data.The book details feature extraction techniques and covers several critical feature descriptors. As machine learning is employed in many diagnostic applications, it covers the fundamentals, evaluation measures, and challenges of supervised and unsupervised learning methods. Both feature extraction and supervised learning are discussed as they apply to seizure-related patterns in epilepsy patients. Other specific disorders are also examined with regard to the value of data mining for refining clinical diagnoses, including depression and recurring migraines. The diagnosis and grading of the world''s fourth most serious health threat, depression, and analysis of acoustic properties that can distinguish depressed speech from normal are also described. Although a migraine is a complex neurological disorder, the text demonstrates how metabonomics can be effectively applied to clinical practice.The authors review alignment-based clustering approaches, techniques for automatic analysis of biofilm images, and applications of medical text mining, including text classification applied to medical reports. The identification and classification of two life-threatening heart abnormalities, arrhythmia and ischemia, are addressed, and a unique segmentation method for mining a 3-D imaging biomarker, exemplified by evaluation of osteoarthritis, is also presented. Given the widespread deployment of complex biomedical systems, the authors discuss system-engineering principles in a proposal for a design of reliable systems. This comprehensive volume demonstrates the broad scope of uses for data mining and includes detailed strategies and methodologies for analyzing data from biomedical images, signals, and systems.

^ Dua; Sumeet (2014). Data Mining in Biomedical Imaging, Signaling, and Systems, Auerbach Public. BiggerBooks. ISBN 9781439839386 (revised Nov 2023)
^ (2013). Data Mining in Biomedical Imaging, Signaling, and Systems ECampus. ISBN 9781439839386 (revised Aug 2015)
^ Data Mining In Biomedical Imaging, Signaling, And Systems Indigo. ISBN 9781439839386 (revised Jun 2015)