Diagnostic applications of health intelligence and surveillance systems
"The book is a great reference about the various application and scientific work going on in this area of how AI is driving the Health sector and helping health practitioners to predict disease intensity using the latest technology"--
| Other Authors: | , , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global, Medical Information Science Reference,
[2021]
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| Series: | Advances in medical technologies and clinical practice book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Chapter 1. Review of data mining techniques used in healthcare
- Chapter 2. Detection of diabetic retinopathy with mobile application using deep learning
- Chapter 3. Android-based skin cancer recognition system using convolutional neural network
- Chapter 4. Mhealth: a resolution in improving global health
- Chapter 5. Computational studies in breast cancer
- Chapter 6. The role of genetic data analysis for precision therapy in cancer: personalized medicine concept in cancer treatment
- Chapter 7. The role of e-health interventions in improving clinical outcomes and overall health for prostate cancer patients: a review
- Chapter 8. Incautious usage of social media: impact on emotional intelligence and health concerns
- Chapter 9. Epileptic seizure detection using machine learning techniques
- Chapter 10. Public health surveillance system: infectious diseases
- Chapter 11. Applications of nanoparticles in various fields
- Chapter 12. Internet of things (IoT) in healthcare
- Chapter 13. IoT on healthcare using clinical decision support system.