href="#ulink_b77751ff-41ce-54b1-a8c8-e251a1b794c2">Acknowledgment
References
10 Applications of Machine Learning in Biomedical Text Processing and Food Industry
10.1 Introduction
10.2 Use Cases of AI and ML in Healthcare
10.3 Use Cases of AI and ML in Food Technology
10.4 A Case Study: Sentiment Analysis of Drug Reviews
10.5 Results and Analysis
10.6 Conclusion
References
11 Comparison of MobileNet and ResNet CNN Architectures in the CNN-Based Skin Cancer Classifier Model
11.1 Introduction
11.2 Our Skin Cancer Classifier Model
11.3 Skin Cancer Classifier Model Results
11.4 Hyperparameter Tuning and Performance
11.5 Comparative Analysis and Results
11.6 Conclusion
References
12 Deep Learning-Based Image Classifier for Malaria Cell Detection
12.1 Introduction
12.2 Related Work
12.3 Proposed Work
12.4 Results and Evaluation
12.5 Conclusion
References
13 Prediction of Chest Diseases Using Transfer Learning
13.1 Introduction
13.2 Types of Diseases
13.3 Diagnosis of Lung Diseases
13.4 Materials and Methods
13.5 Results and Discussions
13.6 Conclusion
References
14 Early Stage Detection of Leukemia Using Artificial Intelligence
14.1 Introduction
14.2 Literature Review
14.3 Proposed Work
14.4 Conclusion and Future Aspects
References
7 Part 3: INTERNET OF MEDICAL THINGS (IOMT) FOR HEALTHCARE 15 IoT Application in Interconnected Hospitals 15.1 Introduction 15.2 Networking Systems Using IoT 15.3 What are Smart Hospitals? 15.4 Assets 15.5 Threats 15.6 Conclusion References 16 Real Time Health Monitoring Using IoT With Integration of Machine Learning Approach 16.1 Introduction 16.2 Related Work 16.3 Existing Healthcare Monitoring System 16.4 Methodology and Data Analysis 16.5 Proposed System Architecture 16.6 Machine Learning Approach 16.7 Work Flow of the Proposed System 16.8 System Design of Health Monitoring System 16.9 Use Case Diagram 16.10 Conclusion References
8 Part 4: MACHINE LEARNING APPLICATIONS FOR COVID-19 17 Semantic and NLP-Based Retrieval From Covid-19 Ontology 17.1 Introduction 17.2 Related Work 17.3 Proposed Retrieval System 17.4 Conclusion References 18 Semantic Behavior Analysis of COVID-19 Patients: A Collaborative Framework 18.1 Introduction 18.2 Related Work 18.3 Methodology 18.4 Conclusion References 19 Comparative Study of Various Data Mining Techniques Towards Analysis and Prediction of Global COVID-19 Dataset 19.1 Introduction 19.2 Literature Review 19.3 Materials and Methods 19.4
