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Deep Learning and Other Soft Computing Techniques

Biomedical and Related Applications

  • Book
  • © 2023

Overview

  • Presents recent research on Biomedical and Other Applications of Deep Learning and Soft Computing
  • Written by experts in the field
  • Gives insights about computational intelligence techniques and their biomedical applications

Part of the book series: Studies in Computational Intelligence (SCI, volume 1097)

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Table of contents (24 chapters)

  1. Biomedical and Other Human-Related Applications of Soft Computing

  2. Applications to Finances

  3. Applications to Transportation Engineering

Keywords

About this book

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (including analysis of medical images and medical data) to therapeutics (including drug design and radiotherapy) to epidemic- and pandemic-related public health policies.

Corresponding techniques include machine learning (especially deep learning), techniques for processing expert knowledge (e.g., fuzzy techniques), and advanced techniques of applied mathematics (such as innovative probabilistic and graph-based techniques).

The book also shows that these techniques can be used in many other applications areas, such as finance, transportation, physics.

This book helps practitioners and researchers to learn more about AI and CI methods and their biomedical (and related) applications—and to further develop thisimportant research direction.

Editors and Affiliations

  • Artificial Intelligence Division, Thang Long University, Hanoi, Vietnam

    Nguyen Hoang Phuong

  • Department of Computer Science, University of Texas at El Paso, El Paso, USA

    Vladik Kreinovich

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