
Deep Learning Techniques for Biomedical and Health Informatics
Description
Key Features
- Examines a wide range of Deep Learning applications for Biomedical Engineering and Health Informatics, including Deep Learning for drug discovery, clinical decision support systems, disease diagnosis, prediction and monitoring
- Discusses Deep Learning applied to Electronic Health Records (EHR), including health data structures and management, deep patient similarity learning, natural language processing, and how to improve clinical decision-making
- Provides detailed coverage of Deep Learning for medical image processing, including optimizing medical big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis
Readership
Biomedical engineers and researchers in data analytics, Big Data, health care management and intelligent systems
Table of Contents
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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 informaticsPart 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 outcomesPart 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
Product details
- No. of pages: 367
- Language: English
- Copyright: © Academic Press 2020
- Published: January 14, 2020
- Imprint: Academic Press
- Paperback ISBN: 9780128190616
- eBook ISBN: 9780128190623
About the Editors
Basant Agarwal
Affiliations and Expertise
Valentina Balas

Affiliations and Expertise
Lakhmi Jain
Affiliations and Expertise
Ramesh Poonia
Affiliations and Expertise
Manisha Sharma
Affiliations and Expertise
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