Multivariate Biomarker Discovery Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data
Book contents
- Multivariate Biomarker Discovery
- Multivariate Biomarker Discovery
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- Part I Framework for Multivariate Biomarker Discovery
- Part II Regression Methods for Estimation
- Part III Classification Methods
- 10 Classification with Random Forests
- 11 Classification with Support Vector Machines
- 12 Discriminant Analysis
- 13 Neural Networks and Deep Learning
- Part IV Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns
- Part V Multivariate Biomarker Discovery Studies
- References
- Index
13 - Neural Networks and Deep Learning
from Part III - Classification Methods
Published online by Cambridge University Press: 30 May 2024
Book contents
- Multivariate Biomarker Discovery
- Multivariate Biomarker Discovery
- Copyright page
- Dedication
- Contents
- Preface
- Acknowledgments
- Part I Framework for Multivariate Biomarker Discovery
- Part II Regression Methods for Estimation
- Part III Classification Methods
- 10 Classification with Random Forests
- 11 Classification with Support Vector Machines
- 12 Discriminant Analysis
- 13 Neural Networks and Deep Learning
- Part IV Biomarker Discovery via Multistage Signal Enhancement and Identification of Essential Patterns
- Part V Multivariate Biomarker Discovery Studies
- References
- Index
Summary
Chapter 13 discusses neural networks and deep learning; included is a presentation of deep convolutional networks that seem to have a great potential in the classification of medical images.
Keywords
- Type
- Chapter
- Information
- Multivariate Biomarker DiscoveryData Science Methods for Efficient Analysis of High-Dimensional Biomedical Data, pp. 191 - 206Publisher: Cambridge University PressPrint publication year: 2024