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Deep Learning Techniques for Biomedical and Health Informatics (Hardcover, 1st ed. 2020): Sujata Dash, Biswa Ranjan Acharya,... Deep Learning Techniques for Biomedical and Health Informatics (Hardcover, 1st ed. 2020)
Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen
R4,922 Discovery Miles 49 220 Ships in 12 - 17 working days

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

Computational Intelligence in Medical Informatics (Hardcover, 2008 ed.): Arpad Kelemen, Ajith Abraham, Yulan Liang Computational Intelligence in Medical Informatics (Hardcover, 2008 ed.)
Arpad Kelemen, Ajith Abraham, Yulan Liang
R5,487 Discovery Miles 54 870 Ships in 10 - 15 working days

Medical Informatics (MI) is an emerging interdisciplinary science that deals with clinical health-related information, its structure, acquisition and use. MI is grounded in the principles of computer science, computational intelligence, as well as the clinical and basic sciences. This book deals with the application of computational intelligence in medical informatics. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters including an introductory chapter giving the fundamental definitions and some important research challenges.

Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Computational Intelligence in Bioinformatics (Hardcover, Xvi & 326 P. 104): Arpad Kelemen, Ajith Abraham, Yuehui Chen Computational Intelligence in Bioinformatics (Hardcover, Xvi & 326 P. 104)
Arpad Kelemen, Ajith Abraham, Yuehui Chen
R4,273 Discovery Miles 42 730 Ships in 10 - 15 working days

Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.

Deep Learning Techniques for Biomedical and Health Informatics (Paperback, 1st ed. 2020): Sujata Dash, Biswa Ranjan Acharya,... Deep Learning Techniques for Biomedical and Health Informatics (Paperback, 1st ed. 2020)
Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen
R4,982 Discovery Miles 49 820 Ships in 10 - 15 working days

This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim of healthcare informatics is to ensure high-quality, efficient health care, and better treatment and quality of life by efficiently analyzing abundant biomedical and healthcare data, including patient data and electronic health records (EHRs), as well as lifestyle problems. In the past, it was common to have a domain expert to develop a model for biomedical or health care applications; however, recent advances in the representation of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the development of such model. This book allows new researchers and practitioners working in the field to quickly understand the best-performing methods. It also enables them to compare different approaches and carry forward their research in an important area that has a direct impact on improving the human life and health. It is intended for researchers, academics, industry professionals, and those at technical institutes and R&D organizations, as well as students working in the fields of machine learning, deep learning, biomedical engineering, health informatics, and related fields.

Computational Intelligence in Medical Informatics (Paperback, 2008 ed.): Arpad Kelemen, Ajith Abraham, Yulan Liang Computational Intelligence in Medical Informatics (Paperback, 2008 ed.)
Arpad Kelemen, Ajith Abraham, Yulan Liang
R5,457 Discovery Miles 54 570 Ships in 10 - 15 working days

Medical Informatics (MI) is an emerging interdisciplinary science. This book deals with the application of computational intelligence in MI. Addressing the various issues of medical informatics using different computational intelligence approaches is the novelty of this edited volume. This volume comprises of 15 chapters selected on the basis of fundamental ideas/concepts including an introductory chapter giving the fundamental definitions and some important research challenges.

Computational Intelligence in Bioinformatics (Paperback, Softcover reprint of hardcover 1st ed. 2008): Arpad Kelemen, Ajith... Computational Intelligence in Bioinformatics (Paperback, Softcover reprint of hardcover 1st ed. 2008)
Arpad Kelemen, Ajith Abraham, Yuehui Chen
R4,219 Discovery Miles 42 190 Ships in 10 - 15 working days

Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution.

This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.

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