Artificial Intelligence in Medical Virology
This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and ne...
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| 団体著者: | |
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| その他の著者: | , |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
| シリーズ: | Medical Virology: From Pathogenesis to Disease Control,
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-981-99-0369-6 |
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目次:
- Chapter 1. Artificial Intelligence for Global Healthcare
- Chapter 2. Artificial Intelligence for Epidemiology COVID-19: Quick Assessment
- Chapter 3. Artificial Intelligence in rural health in developing countries
- Chapter 4. THE ROLE OF ARTIFICIAL INTELLIGENCE TO TRACK COVID-19 DISEASE
- Chapter 5. Artificial Intelligence Techniques based on K-Means two way Clustering and Greedy Triclustering approach for 3D Gene Expression Data (GED)
- Chapter 6. Detection of COVID-19 cases from X-Ray and CT Images using Transfer Learning & Deep Convolution Neural Networks
- Chapter 7. Computer Vision: Augmented Reality (AR), Virtual Reality (VR), Telehealth and Digital Radiology
- Chapter 8. STROKE DISEASE PREDICTION MODEL USING ANOVA WITH CLASSIFICATION ALGORITHMS
- Chapter 9. A CONCISE REVIEW ON DEVELOPMENTAL AND EVALUATION METHODS OF ARTIFICIAL INTELLIGENCE ON COVID 19 DETECTION
- Chapter 10. Artificial Intelligence based Healthcare Industry 4.0 for Disease Detection using Machine Learning Techniques
- Chapter 11. Deep Autoencoder Neural Networks for Heart Sound Classification.