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Computational Learning Approaches to Data Analytics in Biomedical Applications

1st Edition - November 20, 2019

Authors: Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla Olbricht, Donald Wunsch

Language: English
Hardback ISBN:
9 7 8 - 0 - 1 2 - 8 1 4 4 8 2 - 4
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 1 4 4 8 3 - 1

Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistic… Read more

Computational Learning Approaches to Data Analytics in Biomedical Applications

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Computational Learning Approaches to Data Analytics in Biomedical Applications provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses the major problems relating to data analytics, provides a review of influential and state-of-the-art learning algorithms for biomedical applications, reviews cluster validity indices and how to select the appropriate index, and includes an overview of statistical methods that can be applied to increase confidence in the clustering framework and analysis of the results obtained.