Description |
1 online resource (xvi, 380 pages) : illustrations (black and white) |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
Bibliography |
Includes bibliographical references and index. |
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. |
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.
|
|
Génie biomédical -- Informatique -- Guides, manuels, etc.
|
|
Intelligence informatique -- Guides, manuels, etc.
|
|
Intelligence artificielle -- Applications en médecine -- Guides, manuels, etc.
|
|
Soins médicaux -- Informatique -- Guides, manuels, etc.
|
|
Artificial intelligence -- Medical applications
|
|
Biomedical engineering -- Data processing
|
|
Computational intelligence
|
|
Medical care -- Data processing
|
Genre/Form |
Handbook |
|
handbooks.
|
|
Handbooks and manuals
|
|
Handbooks and manuals.
|
|
Guides et manuels.
|
Added Author |
Nayak, Janmenjoy.
|
|
Naik, Bighnaraj.
|
|
Pelusi, Danilo.
|
|
Das, Asit Kumar (Computer scientist)
|
Other Form: |
Print version: 0128222603 9780128222607 (OCoLC)1195460194 |
ISBN |
9780128222614 (electronic bk.) |
|
0128222611 (electronic bk.) |
|
9780128222607 (print) |
|
0128222603 (print) |
Standard No. |
AU@ 000069095729 |
|
AU@ 000069303276 |
|