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