Limit search to available items
Book Cover
E-book

Title Handbook of computational intelligence in biomedical engineering and healthcare / edited by Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi, Asit Kumar Das
Published London, United Kingdom : Academic Press, 2021

Copies

Description 1 online resource (xvi, 380 pages) : illustrations (black and white)
Contents Application of dynamical systems based deep learning algorithms to model emergent characteristics for healthcare diagnostics -- Computational intelligence in healthcare and biosignal processing -- A semi-supervised approach for automatic detection and segmentation of optic disc from retinal fundus image -- Medical decision support system using data mining : an intelligent health care monitoring system for guarded travel -- Deep learning in gastroenterology : a brief review -- Application of soft computing techniques to calculation of medicine dose during the treatment of patient : a fuzzy logic approach -- Multiobjective optimization technique for gene selection and sample categorization -- Medical decision support system using data mining semicircular-based angle-oriented facial recognition using neutrosophic logic -- Preservation module prediction by weighted differentially coexpressed gene network analysis (WDCGNA) of HIV-1 disease : a case study for cancer -- Computational intelligence for genomic data : a network biology approach -- A Kinect-based motor rehabilitation system for stroke recovery -- Empirical study on Uddanam chronic kidney diseases (UCKD) with statistical and machine learning analysis including probabilistic neutral networks -- Enhanced brain tumor detection using fractional wavelet transform and artificial neural network -- A study on smartphone sensor-based human activity recognition using deep learning approaches
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
Bibliography Includes bibliographical references and index
Subject Biomedical engineering -- Data processing -- Handbooks, manuals, etc
Medical care -- Data processing -- Handbooks, manuals, etc
Computational intelligence -- Handbooks, manuals, etc
Artificial intelligence -- Medical applications -- Handbooks, manuals, etc
Artificial intelligence -- Medical applications
Biomedical engineering -- Data processing
Computational intelligence
Medical care -- Data processing
Genre/Form handbooks.
Handbooks and manuals
Handbooks and manuals.
Guides et manuels.
Form Electronic book
Author Nayak, Janmenjoy
Naik, Bighnaraj.
Pelusi, Danilo
Das, Asit Kumar (Computer scientist)
ISBN 9780128222614
0128222611