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Predictive Modeling in Biomedical Data Mining and Analysis

By: (Edited by) India.) Agarwal Basant , (Edited by) Lalit Mohan Goyal , (Edited by) New Delhi) Mit Mamta in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi) , (Edited by) Sudipta Roy , (Edited by) Valentina Emilia Balas

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Ksh 24,850.00

Format: Paperback / Softback

ISBN-10: 032399864X

ISBN-13: 9780323998642

Publisher: Elsevier Science & Technology

Imprint: Academic Press Inc

Country of Manufacture: NL

Country of Publication: GB

Publication Date: Aug 26th, 2022

Print length: 344 Pages

Weight: 722 grams

Dimensions (height x width x thickness): 19.10 x 23.60 x 2.50 cms

Product Classification: Biomedical engineering

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Predictive Modeling in Biomedical Data Mining and Analysis presents major technical advancements and research findings in the field of machine learning in biomedical image and data analysis. The book examines recent technologies and studies in preclinical and clinical practice in computational intelligence. The authors present leading-edge research in the science of processing, analyzing and utilizing all aspects of advanced computational machine learning in biomedical image and data analysis. As the application of machine learning is spreading to a variety of biomedical problems, including automatic image segmentation, image classification, disease classification, fundamental biological processes, and treatments, this is an ideal reference. Machine Learning techniques are used as predictive models for many types of applications, including biomedical applications. These techniques have shown impressive results across a variety of domains in biomedical engineering research. Biology and medicine are data-rich disciplines, but the data are complex and often ill-understood, hence the need for new resources and information.

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