Description
Book SynopsisTable of ContentsPart-1 Introduction of Deep Learning in Healthcare1. Exploration of Computational Frameworks of Deep Learning (DL) and Their Applications for Intelligent Health Diagnosis & Treatment Management Strategies 2. Fermatean Fuzzy Approach of Diseases Diagnosis based on a New Correlation Coefficient Operator3. Application of Deep-Q Learning in Personalised Healthcare IoT Ecosystem4. Dia-Glass: A Calorie-Calculating Spectacles for Diabetic Patients using Augmented Reality and Faster R-CNN Part-2 Applications of Deep Learning in Healthcare5. Synthetic Medical Image Augmentation: A GAN based Approach for Melanoma Skin Lesion Classification with Deep Learning6. Artificial Intelligence representations model for drug target interaction with contemporary knowledge and development7. Review of Fog and Edge Computing Based Smart Health Care System using Deep Learning Approaches 8. Deep Learning in Healthcare: Opportunities, Threats & Challenges Green Smart Environment Solution for Smart Buildings and Green Cities: Towards Combating Covid-199. Hybrid and Automated Segmentation Algorithm for Malignant Melanoma using Chain Codes and Active Contours10. Development of a Predictive Model for Classifying Colorectal Cancer Using Principal Component Analysis11. Using Deep learning via LSTM model Prediction of COVID-19 Situation in India12. Post-Covid-19 Indian Healthcare System: Challenges and Solutions13. SWOT PERSPECTIVE OF INTERNET OF HEALTH OF THINGS14. Deep Learning for Clinical Decision Making and Improved Healthcare Outcome15. Development of No Regret Deep learning framework for Efficient Clinical Decision Making16. Symptom Based Diagnosis of Diseases for Primary Health Check-ups Using Biomedical Text Mining17. Deep learning for healthcare: opportunities, threats and challenges18. Deep learning IoT in Medical and Healthcare19. Deep Learning in Drug Discovery20. Avant-Garde Techniques in Machine for detecting Financial Fraud in Healthcare21. Predicting mental health using social media: A roadmap for future development22. Applied Picture Fuzzy sets with its Picture fuzzy Database for Identification of patients in a Hospital23. A Deep Learning Framework for Surgery Action Detection24. Understanding of Healthcare Problems and Solutions using Deep Learning25. Deep Convolution Classification Model-based COVID-19 Chest CT Image Classification26. Internet of Medical Things In Curbing Pandemics
