Computational Learning Approaches to Data Analytics in Biomedical Applications (Hardcover)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	November 2019
First published:	2020
Authors:	Khalid Al-Jabery • Tayo Obafemi-Ajayi • Gayla Olbricht • Donald C. Wunsch
Dimensions:	235 x 191mm (L x W)
Format:	Hardcover
Pages:	310
ISBN-13:	978-0-12-814482-4
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Promotions
LSN:	0-12-814482-3
Barcode:	9780128144824

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