Explainable AI in Health Informatics
This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in hea...
-д хадгалсан:
| Байгууллагын зохиогч: | |
|---|---|
| Бусад зохиолчид: | , , |
| Формат: | Цахим Цахим ном |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
| Хэвлэл: | 1st ed. 2024. |
| Цуврал: | Computational Intelligence Methods and Applications,
|
| Нөхцлүүд: | |
| Онлайн хандалт: | https://doi.org/10.1007/978-981-97-3705-5 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
|
Агуулга:
- Chapter 1. Introduction to Explainable AI
- Chapter 2. Explainable AI Methods and Applications
- Chapter 3. Unveil the Black Box Model for Healthcare Explainable AI
- Chapter 4. Explainable AI: Methods, Frameworks, and Tools for Healthcare 5.0
- Chapter 5. Explainable AI in Disease Diagnosis
- Chapter 6. Explainable Artificial Intelligence in Drug Discovery
- Chapter 7. Explainable AI for Big Data Control
- Chapter 8. Patient Data Analytics using XAI- Existing Tools & Case Studies
- Chapter 9. Enhancing Diagnosis of Kidney Ailments from CT Scan with Explainable AI
- Chapter 10. Explainable AI for Colorectal Cancer Classification
- Chapter 11. Explainable AI (XAI)-based Robot-Assisted Surgical classification Procedure
- Chapter 12. Explainable AI Case Studies in Healthcare.