Main description:

Features

In-depth coverage of the role of AI in smart healthcare.

Research guideline for AI and data science researchers/practitioners interested in the healthcare sector.

Comprehensive coverage on security and privacy issues for AI in smart healthcare.

Contents:

1. Introduction. 2. Machine Learning for Disease Assessment. 3. Precision Medicine and Future Healthcare. 4. AI-driven Drug Response Prediction for Personalised Cancer Medicine. 5. Skin Disease Recognition and Classification Using Machine Learning and Deep Learning in Python. 6. COVID-19 Diagnosis Based Deep Learning Approaches for COVIDX Dataset: A Preliminary Survey. 7. Automatic Grading of Invasive Breast Cancer Patients for the Decision of Therapeutic Plan. 8. Prognostic Role of CALD1 in Brain Cancer: A Data-driven Review. 9. Artificial Intelligence for Parkinson's Disease Diagnosis: A Review. 10: Breast Cancer Detection: A Survey. 11. Review of Artifact Detection Methods for Automated Analysis and Diagnosis in Digital Pathology. 12. Machine Learning Enabled Detection and Management of Diabetes Mellitus. 13. IoT and Deep Learning-based Smart Healthcare with an Integrated Security System to Detect Various Skin Lesions. 14. Real-Time Facemask Detection Using Deep Convolutional Neural Network-based Transfer Learning. 15. Security Challenges in Wireless Body Area Networks for Smart Healthcare. 16. Machine Learning Based Security and Privacy Protection Approach to Handle the Physiological Data. 17. Conclusion: Future Challenges in Artificial Intelligence for Smart Healthcare.