Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

This PDF book is become immediate popular in Science genre. Handbook of Computational Intelligence in Biomedical Engineering and Healthcare is written by famous author Janmenjoy Nayak and Ready to Download in ePUB, PDF or Kindle formats. Released by Academic Press in 2021-04-08. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Handbook of Computational Intelligence in Biomedical Engineering and Healthcare book.

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
Author : Janmenjoy Nayak
Publisher : Academic Press
Release Date : 08 April 2021
ISBN : 9780128222614
Pages : 396
File Size : 22,7 Mb
Total View : 1706 Views
DOWNLOAD

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare by Janmenjoy Nayak Book PDF Summary

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare
  • Total View : 593
  • File Size : 54,7 Mb

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced

DOWNLOAD
Handbook of Artificial Intelligence in Biomedical Engineering
  • Total View : 710
  • File Size : 40,7 Mb

"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in

DOWNLOAD
Handbook of Artificial Intelligence in Biomedical Engineering
  • Total View : 212
  • File Size : 53,6 Mb

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in

DOWNLOAD
Computational Intelligence in Biomedical Engineering
  • Total View : 682
  • File Size : 42,6 Mb

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational

DOWNLOAD
Handbook of Artificial Intelligence in Healthcare
  • Total View : 443
  • File Size : 55,8 Mb

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of

DOWNLOAD
Handbook of Deep Learning in Biomedical Engineering
  • Total View : 531
  • File Size : 50,8 Mb

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in

DOWNLOAD
Handbook of Research on Applied Intelligence for Health and Clinical Informatics
  • Total View : 778
  • File Size : 40,5 Mb

Currently, informatics within the field of public health is a developing and growing industry. Clinical informatics are used in direct patient care by supplying medical practitioners with information that can be used to develop a care plan. Intelligent applications in clinical informatics facilitates with the technology-based solutions to analyze data

DOWNLOAD
Smart Computational Intelligence in Biomedical and Health Informatics
  • Total View : 103
  • File Size : 54,6 Mb

Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical

DOWNLOAD