Artificial intelligence for disease diagnosis and prognosis in smart healthcare. (2023)

• Record Type: Book
• Further Information: Note: Edited by Ghita K. Mostefaoui, S.M. Riazul Islam, Faisal Tariq.
• Editors: Mostefaoui, Ghita K; Islam, S. M. Riazul; Tariq, Faisal
• 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.
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2023
• Extent: 1 online resource (360 pages), illustrations (black and white)
• Subjects: 610.28563; Artificial intelligence -- Medical applications
• Languages: English
• ISBNs: 9781000823202; 9781000823158
• Related ISBNs: 9781032168302
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
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