Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Islam, S. M. Riazul; Kouadri Mostefaoui, Ghita; Tariq, Faisal
Taylor & Francis Ltd
03/2023
314
Dura
Inglês
9781032168302
15 a 20 dias
453
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial;Health Analytics;Healthcare;Networking;Smart Healthcare;Technology;Data;Machine Learning;Internet of Things;Open Source Computer Vision Library;Deep Neural Network Models;TCGA Data;Deep Learning Models;TCGA;Convolutional Layer;Dl Model;Real Time Video Stream;HER2 Signal;RGB Image;WBAN;Dl Approach;Max Pooling Layer;Roc;Cgm Sensor;DoS Attack;Precision Medicine;GBM Tissue;Invasive BC Patient;SN.;Pharmacogenomic Data;Significant KEGG Pathway;Digital Pathology;HER2 Amplification
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial;Health Analytics;Healthcare;Networking;Smart Healthcare;Technology;Data;Machine Learning;Internet of Things;Open Source Computer Vision Library;Deep Neural Network Models;TCGA Data;Deep Learning Models;TCGA;Convolutional Layer;Dl Model;Real Time Video Stream;HER2 Signal;RGB Image;WBAN;Dl Approach;Max Pooling Layer;Roc;Cgm Sensor;DoS Attack;Precision Medicine;GBM Tissue;Invasive BC Patient;SN.;Pharmacogenomic Data;Significant KEGG Pathway;Digital Pathology;HER2 Amplification