Ambient Intelligence in Health Care : Proceedings of ICAIHC 2022

The book is a collection of research papers presented at the First International Conference on International Conference on Ambient Intelligence in Health Care (ICAIHC 2021) organized by Institute of Technical Education and Research, Siksha ‘O’ Anusandhan (Deemed to be University) University, Bhubaneswar, India, during April 15–16, 2022. It includes papers in the research area of e-health care, telemedicine, other medical technologies, life support systems, fast detection and diagnoses, developed technologies and innovative solutions, bioinformatics, and solutions for monitoring smart intelligent systems in health care. ICAIHC Committee Preface Acknowledgements Contents About the Editors 1 An Adaptive Fuzzy-Based Clustering Model for Healthcare Wireless Sensor Networks 1.1 Introduction 1.1.1 Resource Management in WSN 1.2 Related Work 1.3 Proposed Model 1.3.1 Fuzzy Sets and Neuro-fuzzy Logic Theory 1.4 Simulation and Results 1.5 Conclusion and Future Work References 2 Artificial Pancreas (AP) Based on the JAYA Optimized PI Controller (JAYA-PIC) 2.1 Introduction 2.2 Problem Statements Formulations 2.2.1 Clinical Information 2.2.2 Simulation Model 2.2.3 MID 2.2.4 Patient Output 2.3 Control Algorithms 2.3.1 Development of JAYA-PIC 2.4 Results 2.4.1 JAYA-PIC Action in Patient 2.4.2 Analysis of Control Actions 2.5 Conclusions References 3 Security Issues and Solutions for Reliable WBAN-Based e-Healthcare Systems: A Systematic Review 3.1 Introduction 3.2 Methodology 3.3 Secured WBAN Requirements 3.3.1 Security Paradigms for WBAN 3.3.2 Security Needs in WBAN 3.4 Security Solutions 3.5 Case Studies on WBAN Prototypes 3.6 Conclusion References 4 Brain Tumour Detection by Multilevel Thresholding Using Opposition Equilibrium Optimizer 4.1 Introduction 4.2 Multilevel Thresholding Based on Entropy 4.2.1 Multilevel Thresholding: A Mathematical Approach 4.2.2 Entropy Functions 4.3 Opposition Equilibrium Optimizer (OEO) 4.4 Proposed Brain Tumour Detection Method Using OEO-Based Multilevel Thresholding Approach 4.5 Results and Discussion 4.6 Conclusion References 5 RescuePlus 5.1 Introduction 5.2 Literature Review 5.3 Existing Solution 5.4 Proposed Solution 5.5 Result 5.6 Future Scope 5.7 Conclusion References 6 Skeletal Bone Age Determination Using Deep Learning 6.1 Introduction 6.2 Methodology 6.2.1 Data Set Selection 6.2.2 Data Pre-processing 6.3 Custom Model 6.3.1 Model Architecture 6.3.2 Approaches 6.4 Experiments 6.4.1 Loss Functions 6.4.2 Comparing with Pre-trained Models 6.5 Conclusion References 7 Chimp Optimization Algorithm-Based Feature Selection for Cardiac Image-Based Heart Disease Diagnosis 7.1 Introduction 7.2 Chimp Optimization Algorithm-Based Feature Selection for Heart Disease Diagnosis 7.2.1 Pre-processing 7.2.2 Feature Extraction 7.2.3 Feature Selection Using ChOA 7.2.4 Classification Using SVNN 7.3 Results and Discussion 7.4 Conclusion References 8 The Hospitality Industry's Impact on the COVID-19 Epidemic: A Case Study of Ukraine 8.1 Introduction 8.2 Literature Review 8.3 Research Methods 8.4 Results 8.4.1 State and Legal Measures 8.5 Conclusion References 9 Society in Front of a COVID-19 Pandemic: India Versus Ukraine 9.1 Introduction 9.1.1 Research Background 9.2 Research Methods and Materials 9.3 Results 9.3.1 The Speed of Virus Spreading 9.3.2 The Risk and Danger Rate Estimation 9.4 The Level of Trust in the National Healthcare System and the Satisfaction of Government's Response to COVID-19 Situation 9.5 The Emotions and General Psychological State of Respondents 9.6 Conclusions Notes References 10 Breast Cancer Detection Using Concatenated Deep Learning Model 10.1 Introduction 10.2 Proposed Methodology 10.2.1 Convolutional Neural Network 10.2.2 LSTM 10.3 Result Analysis 10.3.1 Dataset Description 10.4 Conclusion References 11 Recommendation of Pesticides Based on Automation Detection of Citrus Fruits and Leaves Diseases Using Deep Learning 11.1 Introduction 11.2 Related Work 11.3 Proposed Work 11.3.1 Image Acquisition and Preprocessing 11.3.2 Image Segmentation 11.3.3 Diseases Prediction 11.3.4 Experimental Results 11.3.5 Fertilizer Recommendation 11.4 Conclusion References 12 Comprehensive Information Retrieval Using Fine-Tuned Bert Model and Topic-Assisted Query Expansion 12.1 Introduction 12.2 Review of Literature 12.3 Comprehensive Information Retrieval 12.3.1 BERT Model 12.3.2 Topic Modelling Using Latent Dirichlet Allocation 12.3.3 The Proposed CIR Architecture 12.4 The Proposed Approach 12.5 Experimental Results 12.5.1 Dataset 12.5.2 Evaluation Metrics 12.5.3 Performance Evaluations 12.5.4 Performance Comparison 12.5.5 Discussions 12.6 Conclusion References 13 Diabetic Retinopathy Detection Using CNN Model 13.1 Introduction 13.2 Related Work 13.3 Dataset Used 13.3.1 Overview 13.3.2 Augmentation 13.4 Defining CNN Model 13.4.1 Summary of Model Architecture 13.4.2 Model Layers 13.4.3 Loss Function 13.5 Result 13.6 Conclusion References 14 Digi-CANE—An IoT Savior for Visually Sensitive 14.1 Introduction 14.2 Literature Survey 14.3 Objective 14.4 General Flowchart 14.5 The Sensory Architecture 14.5.1 Emergency Sensor (Gyroscope) 14.5.2 Cane Module 14.5.3 Ultrasonic Sensor 14.5.4 Buzzer 14.5.5 Arduino Uno 14.5.6 Working 14.6 Circuit Diagram 14.6.1 Hardware Details 14.6.2 Working of Ultrasonic Sensor (HC-SR04) 14.6.3 Software Requirement Arduino IDE 14.7 Conclusion and Future Scope References 15 Link Performance in Community Detection Using Social Network 15.1 Introduction 15.2 Literature Review 15.3 Methods 15.4 Metrics 15.5 Experimental Results 15.6 Discussion 15.7 Conclusion References 16 Analyze Ego-Centric Nodes in Social Network Using Machine Learning Technique 16.1 Introduction 16.2 Review of Literature 16.3 Materials and Method 16.4 Link Influence Strategies 16.5 Result and Discussion 16.6 Conclusion 16.7 Future Enhancement References 17 5G Revolution Transforming the Delivery in Healthcare 17.1 Introduction 17.2 Literature Review 17.3 Features of 5G Technology 17.4 Problems Posed by Current Healthcare Industry 17.4.1 Lack of Universal Access 17.4.2 Long-Term Chronic Care Burden 17.4.3 Aging Population 17.4.4 Resource Constraints and Healthcare Disparities 17.5 Areas in Healthcare that 5G Will Boost 17.5.1 Imaging 17.5.2 Diagnostics 17.5.3 Data Analytics and Treatment 17.6 New Realms that 5G Will Enable 17.7 Real-World Trials 17.8 Positive Impacts of 5G on Our Healthcare System 17.9 Recommendations 17.10 Conclusion and Future Works References 18 A Systematic Review of AI Privileges to Combat Widen Threat of Flavivirus 18.1 Significance of AI in Flavivirus Disease Eradication 18.1.1 AI in Healthcare 18.1.2 Flavivirus—A Detailed Synopsis 18.1.3 Flavivirus Characteristics 18.1.4 Flavivirus Lifecycle 18.1.5 Flavivirus Epidemiology 18.2 Detection and Estimation of Flavivirus Disease with Machine Learning Models 18.3 Conclusions and Future Direction References 19 Early Detection of Sepsis Using LSTM Neural Network with Electronic Health Record 19.1 First Section 19.2 Method 19.2.1 Sepsis Data Preprocessing 19.2.2 LSTM Model 19.3 Result and Discussion 19.4 Conclusion References 20 Detection of COVID-19 Infection from Clinical Findings Using Machine Learning Algorithm 20.1 Introduction 20.2 Related Works 20.3 Materials and Methods 20.3.1 Medical Dataset Used 20.3.2 Data Preprocessing 20.3.3 Feature Selection 20.3.4 Classification Algorithms 20.4 Performance Evaluation and Results 20.4.1 Evaluation Measures 20.4.2 Results 20.5 Conclusion References 21 Development of Real-Time Cloud Based Smart Remote Healthcare Monitoring System 21.1 Introduction 21.2 System Framework 21.3 System Modeling 21.4 Results and Discussion 21.5 Conclusion References 22 Performance Analysis of Hyperparameters of Convolutional Neural Networks for COVID-19 X-ray Image Classification 22.1 Introduction 22.2 CNN and Its Optimizers 22.3 Experimental Results 22.4 Conclusion References 23 Sequence Rule Mining for Insulin Dose Prediction Using Temporal Dataset 23.1 Introduction 23.2 Literature Review 23.3 Definitions 23.3.1 Sequential Rule Mining 23.3.2 Support and Confidence 23.3.3 Sequence Rule Mining Algorithms 23.4 Methodology 23.5 Experiment Work 23.5.1 Dataset Used 23.5.2 Result and Discussion 23.6 Conclusion 23.7 Future Scope References 24 Ensemble Deep Learning Approach with Attention Mechanism for COVID-19 Detection and Prediction 24.1 Introduction 24.2 Related Work 24.3 Proposed Model 24.4 Data sets, Experiments, and Results 24.5 Conclusion and Future Scope References 25 Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks 25.1 Introduction 25.2 Proposed Work 25.2.1 Prototype Learner 25.2.2 Segmentor 25.3 Experiments 25.3.1 Dataset Description and Measures Used 25.3.2 Parameters 25.3.3 Results and Analysis 25.4 Conclusion References 26 Quantification of Homa Effect on Air Quality in NCR, India: Pollution and Pandemic Challenges in Cities and Healthcare Remedies 26.1 Introduction 26.1.1 Air Quality Global Challenge in Twenty-First Century 26.1.2 How Yajna and Vedic Rituals May Curb Pollution 26.2 Literature Review 26.2.1 Air Pollution and Public Health 26.3 Methodology and Setup of Experiment 26.3.1 Setup 26.3.2 Flowchart 26.4 Novelties and Recommendations 26.5 Future Research Directions and Limitations 26.6 Conclusions References 27 Examining the AQI with Effect of Agnihotra in NCR Region: Extracting Knowledge for Sustainable Society and Holistic Development with Healthcare 5.0 27.1 Introduction 27.1.1 Motivation 27.1.2 Scope of the Study 27.1.3 Background 27.2 Literature Review 27.3 Methodology and Setup of Experiment 27.3.1 Setup Steps 27.3.2 Flowchart 27.4 Results and Discussions 27.5 Novelties 27.6 Recommendations 27.7 Future Research Directions and Limitations 27.8 Conclusions References 28 Early Detection of Stroke Risk Using Optimized Light Gradient Boosting Machine Approach Based on Demographic Data 28.1 Introduction 28.2 Literature Study 28.3 Proposed Intelligent Method for Stroke Risk Prediction 28.3.1 Dataset and Preprocessing 28.3.2 Optimized Light Gradient Boosting Machine 28.4 Result Analysis 28.5 Conclusion References 29 An EOG-Based Human–Computer Interface in Solving 24-Puzzle 29.1 Introduction 29.2 Related Work 29.3 Proposed Approach 29.3.1 Signal Acquisition 29.3.2 GUI Puzzle Board 29.3.3 Eyeblink Detection Methodology 29.3.4 Calibration 29.4 Result Analysis 29.4.1 Cued Puzzle Solving Experiment 29.5 Conclusion References 30 Intelligent IoT-Based Healthcare System Using Blockchain 30.1 Introduction 30.2 Works of the Past and Present 30.2.1 Internet of Things is Being Used in Healthcare 30.2.2 Blockchain Technology 30.2.3 Smart Contract 30.3 The Proposed System 30.3.1 System Requirements 30.3.2 System Implementation 30.4 Evaluation Criteria 30.5 Conclusion References 31 Sentiment Analysis of Stress Among the Students Amidst the Covid Pandemic Using Global Tweets 31.1 Introduction 31.2 Literature Review 31.3 Research Methodology 31.3.1 Data Extraction 31.3.2 Data Preprocessing 31.3.3 Calculating the Polarity 31.3.4 Tweet Classification 31.3.5 Dataset Visualization 31.4 Conclusion References 32 Computational Approach in Designing and Development of Novel Inhibitors of AKR1C1 32.1 Introduction 32.2 Dataset and Methodologies 32.2.1 Inhibitors Set 32.2.2 QSAR Modeling 32.2.3 Model Validation 32.2.4 Molecular Docking 32.3 Result Analysis 32.3.1 Model Building and Validation 32.3.2 Statistical Analysis of the Models 32.3.3 Docking Results 32.4 Conclusion References 33 Data Analysis in Clinical Decision Making—Prediction of Heart Attack 33.1 Introduction 33.2 Related Work 33.3 Materials and Methods 33.3.1 Proposed Method 33.3.2 Dataset 33.3.3 ORANGE Data Mining Tool 33.3.4 Feature Selection Methods 33.3.5 Classification Methods 33.4 Experimental Results and Analysis 33.5 Conclusion References 34 A Review of the Detection of Pulmonary Embolism from Computed Tomography Images Using Deep Learning Methods 34.1 Introduction 34.2 Deep Learning Method and Workflow 34.3 Major Diagnostic Techniques Used for Detecting PE 34.3.1 Observations in the CT Imaging Data 34.4 Literature Review 34.5 Discussion and Views 34.6 Challenges in Deep Learning 34.7 Future Direction 34.8 Conclusion References 35 COVID-19 Detection Using CNN-ResNet-50 Model 35.1 Introduction 35.2 Methodology and Implementation 35.2.1 Proposed Work 35.2.2 Transfer Learning Employing ResNet-50 Model 35.3 Results and Discussion 35.3.1 Evaluation of Model Performance 35.3.2 Performance Comparison of Model on Test Data Using Statistical Measures 35.4 Conclusion References 36 Churn Prediction of Clinical Decision Support Recommender System 36.1 Introduction 36.2 Related Work 36.3 Proposed Framework and Methodology 36.4 Result Analysis 36.5 Conclusion and Future Improvement Work References 37 Classifications of COVID-19 Variants Using Rough Set Theory 37.1 Introduction 37.2 Related Study 37.3 Methodology 37.4 Result Discussion 37.5 Conclusion and Future Work References 38 Study of Data Mining Algorithms on Social Network Data for Discovering Invisible Patterns of Social Collaboration 38.1 Introduction 38.2 Issues and Challenges in Mining Social Data 38.3 Social Network Analysis 38.4 Data Mining Technique and Tools 38.5 Comparative Analysis 38.5.1 Data Mining Techniques Research Areas 38.6 Conclusion and Future Scope References 39 Diabetes Prediction Using Ensemble Methods 39.1 Introduction 39.2 Related Work 39.3 Dataset 39.4 Methodology 39.4.1 Data Preprocessing 39.4.2 Identification of Missing Values 39.4.3 Data Visualization and Interpretation 39.4.4 Feature Scaling 39.5 Model Architecture 39.6 Results and Analysis 39.7 Conclusion References 40 Real-Time Health Monitoring System Using Predictive Analytics 40.1 Introduction 40.2 Literature Survey 40.3 Proposed Model 40.4 Simulation Environment 40.5 Result Discussion 40.6 Conclusion and Future Scope References 41 A Comparative Analysis of Multivariate Statistical Time Series Models for Water Quality Forecasting of the River Ganga 41.1 Introduction 41.2 Problem Statement 41.3 Proposed Methodology 41.3.1 Data Collection and Preprocessing 41.3.2 Calculation of WQI 41.3.3 Testing for Stationarity 41.3.4 Granger Causality Test 41.3.5 Development of Multivariate Models 41.3.6 Performance Measures 41.4 Results and Discussion 41.4.1 Exploratory Data Analysis 41.4.2 Stationary Test 41.4.3 Granger Causality Test 41.4.4 Model Recognition 41.4.5 Forecasting Results of Multivariate Models 41.5 Comparative Analysis 41.6 Conclusion References 42 A Machine Learning Approach for Human Action Recognition 42.1 Introduction 42.2 Related Work 42.3 Framework Used 42.3.1 KTH Dataset 42.3.2 Spatiotemporal Interest Points 42.4 Experimental Analysis 42.5 Conclusion References 43 An Artificial Intelligence and Computer Vision Based EyeWriter 43.1 Introduction 43.2 Related Work 43.3 Proposed Methodology 43.4 Implementations and Results 43.5 Conclusion and Future Work References 44 Biological Sequence Analysis Using Complex Networks and Entropy Maximization: A Case Study in SARS-CoV-2 44.1 Introduction 44.2 Materials and Methods 44.2.1 Materials 44.2.2 Methods 44.2.3 Classification 44.2.4 Motif Analysis 44.3 Results and Discussion 44.4 Conclusion References 45 Analysis of Light and Dark Pixel Density Areas on SD-OCT in Diabetes—Is It a Marker of Neuronal Degeneration? 45.1 Introduction 45.2 Methods 45.3 Results 45.4 Discussion and Conclusion References 46 Efficient Ensemble Learning Based CatBoost Approach for Early-Stage Stroke Risk Prediction 46.1 Introduction 46.2 Related Works 46.3 Proposed Work 46.4 Dataset Description and Experimental Setup 46.4.1 Dataset Overview 46.4.2 Experimental Setup 46.5 Result and Discussion 46.6 Conclusion References Author Index