Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare [Paperback]

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.

Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards.

Ghita Kouadri Mostefaoui is currently an Associate Professor at the Department of Computer Science, University College London. Her current teaching includes programming, computer architecture, and software engineering. She received her PhD in computer science from both the University of Fribourg, Switzerland and Universit? Pierre et Marie Curie (Paris 6). Ghita is a Fellow of the Higher Education Academy.&lÓ)