Deep learning for personalized healthcare services /
This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and...
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| Other Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston :
De Gruyter,
[2021]
©2021 |
| Series: | Intelligent Biomedical Data Analysis ,
7 |
| Subjects: | |
| ISBN: | 9783110708127 |
| ISSN: | 2629-7140 ; |
| Online Access: |
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Table of Contents:
- Frontmatter
- Preface
- Acknowledgments
- Contents
- Short Biography of Editors
- List of Contributors
- Deep learning for health and medicine
- Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare
- Advanced deep learning techniques and applications in healthcare services
- Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0
- Early cancer predictions using ensembles of machine learning and deep learning
- Deep learning in patient management and clinical decision making
- Patient health record system
- Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services
- Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer
- Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses
- An overview of the technological performance of deep learning in modern medicine
- Index

