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Predictive Modeling in Biomedical Data Mining and Analysis - (Paperback) - 1 of 1

Predictive Modeling in Biomedical Data Mining and Analysis - (Paperback)

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Highlights

  • 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.
  • Author(s): Sudipta Roy & Lalit Mohan Goyal & Valentina Emilia Balas & Basant Agarwal & Mamta Mittal
  • 344 Pages
  • Science, Biotechnology

Description



Book Synopsis



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.

Dimensions (Overall): 9.25 Inches (H) x 7.5 Inches (W) x .72 Inches (D)
Weight: 1.3 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 344
Genre: Science
Sub-Genre: Biotechnology
Publisher: Academic Press
Format: Paperback
Author: Sudipta Roy & Lalit Mohan Goyal & Valentina Emilia Balas & Basant Agarwal & Mamta Mittal
Language: English
Street Date: August 26, 2022
TCIN: 1008296305
UPC: 9780323998642
Item Number (DPCI): 247-53-2036
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.72 inches length x 7.5 inches width x 9.25 inches height
Estimated ship weight: 1.3 pounds
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