Artificial Intelligence for Internet of Things (IoT) and Health Systems Operability: AI for IoT and Health Systems

Preface
Organization
Contents
Drug-Drug Interaction, Interaction Type and Resulting Severity Forecasting by Machine Learning-Based Approaches
	1 Introduction
	2 Materials and Methods
		2.1 Collecting and Structuring Data
	3 Results
	4 Conclusion
	References
Hybrid Network Protocol Information Collection and Dissemination in IoT Healthcare
	1 Introduction
	2 Problem Statemint
	3 Application Layer Protocols
		3.1 AMQP (Advanced Message Queuing Protocol)
		3.2 DDS (Data Distribution Service)
		3.3 COAP (Constrained Application Protocol)
		3.4 MQTT (Message Queuing Telemetry Transport)
	4 Proposed Methodology
		4.1 CoAP and MQTT Integration
		4.2 Methodology in Steps
		4.3 Implementation/Simulation Tools
	5 Implementation and Results Discussion
	6 Conclusion
	References
CNN-Based Model for Skin Diseases Classification
	1 Introduction
	2 Related Works
	3 Proposed Method
		3.1 Dataset Description
		3.2 Image Processing
		3.3 Architecture of the Proposed System
	4 Experimental Results
	5 Result Discussion
	6 Conclusion
	References
Using Explainable Artificial Intelligence and Knowledge Graph to Explain Sentiment Analysis of COVID-19 Post on the Twitter
	1 Introduction
	2 Literature Review
		2.1 Sentiment Analysis
		2.2 Explainable AI
		2.3 Knowledge Graph
	3 Methodology
		3.1 Research Architecture
		3.2 Data Collection
		3.3 Keyword Extraction
		3.4 Sentiment Analysis
		3.5 Explainable AI
		3.6 Knowledge Graph
	4 Experiment Results
	5 Conclusion
	References
An IoT-Based Telemedicine System for the Rural People of Bangladesh
	1 Introduction
	2 Proposed Telemedicine System
	3 Real-Time Patient Monitoring
	4 Hardware Prototype and Result
		4.1 Hardware Prototype Design
		4.2 ECG Signal Classification Results
	5 Conclusion
	References
Comparison of Predicting Regional Mortalities Using Machine Learning Models
	1 Introduction
	2 Methods
		2.1 Linear Regression
		2.2 Polynomial Regression
		2.3 Support Vector Regression
		2.4 Decision Tree Regression
		2.5 Random Forest Regression
		2.6 Gradient Boosting Regression
		2.7 K-Nearest Neighbors Regression
		2.8 Artificial Neural Network Regression
	3 Performance Metrics
		3.1 Coefficient of Determination
		3.2 Mean Absolute Percentage Error
	4 Experiments and Discussion
	5 Conclusion
	References
Benign and Malignant Cancer Prediction Using Deep Learning and Generating Pathologist Diagnostic Report
	1 Introduction
	2 Literature Survey
	3 Data Sources and Diagnostic Approaches in Cancer Detection
		3.1 Places to Get Reliable Data From
	4 Methodology
		4.1 Proposed System
	5 Conclusion
	References
An Integrated Deep Learning Approach for Computer-Aided Diagnosis of Diverse Diabetic Retinopathy Grading
	1 Introduction
	2 Background of Literature Resources
	3 Material and Methodology
	4 Hybrid Model Explainability Results
	5 Discussion
	6 Conclusion
	References
Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
	1 Introduction
	2 Related Work
	3 Methodology
		3.1 Data Description
		3.2 Attention Mechanism
		3.3 Weight Uncertainty
	4 Experimental Result and Discussion
		4.1 Experimental Setup
		4.2 Parameters Settings
		4.3 Performance Metrics
		4.4 Compared Approaches
	5 Conclusion
	References
A Stochastic Gradient Support Vector Optimization Algorithm for Predicting Chronic Kidney Diseases
	1 Introduction
	2 Related Works
	3 Methodology
		3.1 Proposed System
		3.2 Dataset
		3.3 Data Preprocessing
		3.4 Prediction Approach
		3.5 Support Vector Machine
		3.6 SPegasos Algorithm
	4 Experimental Results
	5 Conclusion
	References
Intelligent Information Systems in Healthcare Sector: Review Study
	1 Introduction
		1.1 Evolution of IISs in Healthcare
		1.2 Key Research Areas in IISs for Healthcare
		1.3 Objectives and Scope of the Systematic Review
	2 Related Work
	3 Systematic Review
		3.1 Search Strategy
		3.2 Eligibility Review Criteria
		3.3 Study Selection and Data Extraction
	4 Results and Discussions
		4.1 Study Characteristics
		4.2 Publications by Year
		4.3 Publications by Healthcare Application
		4.4 Publications by Subject Area
		4.5 Main Findings
	5 Sample Framework and Applications of IISA in Healthcare
	6 Challenges and Future Directions
		6.1 Challenges
		6.2 Future Directions
	7 Conclusion
	References
Design of a Blockchain-Based Patient Record Tracking System
	1 Introduction
	2 Blockchain-Based Patient Records Tracking System-Related Works
	3 System Design
		3.1 Hyperledger-Based Patient Records Tracking System with NFTs
		3.2 Flowchart
		3.3 Use Case Diagram
		3.4 Sequence Diagram
	4 Discussion
	5 Conclusion
	References
IoT Networks and Online Image Processing in IMU-Based Gait Analysis
	1 Introduction
		1.1 Literature Review
	2 Gait Analysis System Design
		2.1 Sensor Infrastructure
		2.2 Image Processing Method
	3 IoT and Server Infrastructure
	4 Data Synchronization and Pose Estimation
	5 Application
	6 Effect of Camera Synchronization
	7 Conclusion and Future Work
	References
Reducing Patient Waiting Time in Ultrasonography Using Simulation and IoT Application
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Data Collection
		3.2 Simulation Model and Results
	4 Conclusion
	References
Author Index