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Deep learning techniques for biomedical and health informatics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep learning techniques for biomedical and health informatics/ edited by Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma.
其他作者:	Sharma, Manisha.
出版者:	Amsterdam :Academic Press, : 2020.,
面頁冊數:	1 online resource.
標題:	Medicine - Data processing. -
電子資源:	https://www.sciencedirect.com/science/book/9780128190616
ISBN:	9780128190623 (electronic bk.)

Deep learning techniques for biomedical and health informatics
Deep learning techniques for biomedical and health informatics[electronic resource] /edited by Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma. - Amsterdam :Academic Press,2020. - 1 online resource.

Includes bibliographical references and index.

Part I: Deep Learning for Biomedical Engineering and Health Informatics 1. Introduction to Deep Learning and Health Informatics 2. A survey on deep learning algorithms for biomedical engineering 3. Machine learning and deep learning for Biomedical and Health Informatics 4. Deep learning for bioinformatics and drug discovery 5. Deep learning for Clinical Decision Support Systems 6. Deep learning for efficient Patients disease diagnosis and monitoring systems 7. Deep learning based methods for the Prediction of disease 8. Deep learning / Convolutional Neural Networks for Lung Pattern Analysis 9. Recommender systems for Biomedical and Health informatics Part II: Deep Learning and Electronics Health Records 10. Deep Learning with Electronic Health Records (EHR) 11. Health Data Structures and Management 12. Deep Patient Similarity Learning with EHR 13. Natural Language Processing, Electronic Health Records, and Clinical Research 14. Healthcare Informatics to analyze patient health records to enable better clinical decision making and improved healthcare outcomes Part III: Deep Learning for Medical Image Processing 15. Machine Learning in Bio-medical Signal and Medical image processing 16. Deep Learning for Medical Image Recognition 17. Unsupervised Deep Feature Representations Learning for Bio-medical Image analysis 18. Deep learning for optimizing medical big data 19. Deep learning for Brain Image Analysis 20. Deep Learning for Automated Brain Tumor Segmentation in MRI Images 21. Deep Learning and the Future of Biomedical Image Analysis.

ISBN: 9780128190623 (electronic bk.)

Nat. Bib. No.: GBB9K4489bnbSubjects--Topical Terms:

639555
Medicine
--Data processing.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q325.5

Dewey Class. No.: 006.3/1

Deep learning techniques for biomedical and health informatics
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260 $a Amsterdam : $b Academic Press, $c 2020.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a Part I: Deep Learning for Biomedical Engineering and Health Informatics 1. Introduction to Deep Learning and Health Informatics 2. A survey on deep learning algorithms for biomedical engineering 3. Machine learning and deep learning for Biomedical and Health Informatics 4. Deep learning for bioinformatics and drug discovery 5. Deep learning for Clinical Decision Support Systems 6. Deep learning for efficient Patients disease diagnosis and monitoring systems 7. Deep learning based methods for the Prediction of disease 8. Deep learning / Convolutional Neural Networks for Lung Pattern Analysis 9. Recommender systems for Biomedical and Health informatics Part II: Deep Learning and Electronics Health Records 10. Deep Learning with Electronic Health Records (EHR) 11. Health Data Structures and Management 12. Deep Patient Similarity Learning with EHR 13. Natural Language Processing, Electronic Health Records, and Clinical Research 14. Healthcare Informatics to analyze patient health records to enable better clinical decision making and improved healthcare outcomes Part III: Deep Learning for Medical Image Processing 15. Machine Learning in Bio-medical Signal and Medical image processing 16. Deep Learning for Medical Image Recognition 17. Unsupervised Deep Feature Representations Learning for Bio-medical Image analysis 18. Deep learning for optimizing medical big data 19. Deep learning for Brain Image Analysis 20. Deep Learning for Automated Brain Tumor Segmentation in MRI Images 21. Deep Learning and the Future of Biomedical Image Analysis.
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700 1 $a Balas, Valentina Emilia. $3 897253
700 1 $a Agarwal, Basant. $3 1103701
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