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Swarm Optimization for Biomedical Applications

Bibliographic Details
Title: Swarm Optimization for Biomedical Applications
Description: Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
Authors: Saurav Mallik, Zhongming Zhao, Nanda Dulal Jana, Prabhu Jayagopal, Tapas Si, Sandeep Kumar Mathivanan
Resource Type: eBook.
Subjects: Mathematical optimization, Biomedical engineering--Data processing, Swarm intelligence
Categories: TECHNOLOGY & ENGINEERING / Biomedical, MEDICAL / Diagnostic Imaging / General, COMPUTERS / Data Science / Machine Learning
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 4100453
RelevancyScore: 981
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 981.043701171875
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  Group: Ti
  Data: Swarm Optimization for Biomedical Applications
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Biomedical engineering is a rapidly growing interdisciplinary area that is providing solutions to biological and medical problems and improving the healthcare system. It is connected to various applications like protein structure prediction, computer-aided drug design, and computerized medical diagnosis based on image and signal data, which accomplish low-cost, accurate, and reliable solutions for improving healthcare services. With the recent advancements, machine learning (ML) and deep learning (DL) techniques are widely used in biomedical engineering to develop intelligent decision-making healthcare systems in real-time. However, accuracy and reliability in model performance can be a concern in tackling data generated from medical images and signals, making it challenging for researchers and practitioners. Therefore, optimized models can produce quality healthcare services to handle the complexities involved in biomedical research. Various optimization techniques have been employed to optimize parameters, hyper-parameters, and architectural information of ML/DL models explicitly applied to biological, medical, and signal data. The swarm intelligence approach has the potential to solve complex non-linear optimization problems. It mimics the collective behavior of social swarms such as ant colonies, honey bees, and bird flocks. The cooperative nature of swarms can search global settings of ML/DL models, which efficiently provide the solution to biomedical engineering applications. Finally, the book aims to provide the utility of swarm optimization and similar optimization techniques to design ML/DL models to improve the solutions related to biomedical engineering.
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  Data: <searchLink fieldCode="AR" term="%22Saurav+Mallik%22">Saurav Mallik</searchLink><br /><searchLink fieldCode="AR" term="%22Zhongming+Zhao%22">Zhongming Zhao</searchLink><br /><searchLink fieldCode="AR" term="%22Nanda+Dulal+Jana%22">Nanda Dulal Jana</searchLink><br /><searchLink fieldCode="AR" term="%22Prabhu+Jayagopal%22">Prabhu Jayagopal</searchLink><br /><searchLink fieldCode="AR" term="%22Tapas+Si%22">Tapas Si</searchLink><br /><searchLink fieldCode="AR" term="%22Sandeep+Kumar+Mathivanan%22">Sandeep Kumar Mathivanan</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Biomedical+engineering--Data+processing%22">Biomedical engineering--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink>
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  Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Biomedical%22">TECHNOLOGY & ENGINEERING / Biomedical</searchLink><br /><searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Diagnostic+Imaging+%2F+General%22">MEDICAL / Diagnostic Imaging / General</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Data+Science+%2F+Machine+Learning%22">COMPUTERS / Data Science / Machine Learning</searchLink>
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RecordInfo BibRecord:
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      – Code: 610.28
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Biomedical engineering--Data processing
        Type: general
      – SubjectFull: Swarm intelligence
        Type: general
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      – TitleFull: Swarm Optimization for Biomedical Applications
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2025
            – D: 04
              M: 03
              Type: profile
              Y: 2025
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              Value: 9781032697338
            – Type: isbn-print
              Value: 9781032713755
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            – TitleFull: Swarm Optimization for Biomedical Applications
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