Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems

Welcome
Table of Content
Title
BENTHAM SCIENCE PUBLISHERS LTD.
    End User License Agreement (for non-institutional, personal use)
    Usage Rules:
        Disclaimer:
        Limitation of Liability:
    General:
FOREWORD
PREFACE
List of Contributors
Convolutional Neural Network for Denoising Left Ventricle Magnetic Resonance Images
    Abstract
    INTRODUCTION
    DENOISING MRI IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
    CONVOLUTIONAL NEURAL NETWORK FOR DENOISING
        Building Blocks of Convolutional Neural Network
        Network Architecture
        Implementation Platform
        Data Description
    RESULT AND DISCUSSION
        Quantitative Measurements
        Confusion Matrix
    CONCLUSION
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Early Diabetic Retinopathy Detection Using Elevated Continuous Particle Swarm Optimization Clustering With Raspberry PI
    Abstract
    INTRODUCTION
        Heart
        Kidney
        Eye
    BACKGROUND
        Particle Swarm Optimization Clustering
        Particle Swarm Optimization Clustering Algorithm
        Raspberry PI
    LITERATURE REVIEW
    PROPOSED MODEL
        Pre-processing
        Segmentation
        Elevated Continuous Particle Swarm Optimization Clustering
        Fitness Measures
        Feature Extraction
    RESULTS AND DISCUSSION
        Results
    CONCLUSION
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
E-Health System and Telemedicine: An Overview and its Applications in Health Care and Medicine
    Abstract
    INTRODUCTION
        E-Health
        Electronic Health System
            Health Care Informatics or Health Information Technology (HIT)
            Electronic Health Records (EHR)
            Medical Information System
            Biomedical Informatics
    COMPONENCE OF E-HEALTH
        Telehealth
        Real-Time Audio and Video Consultation
        Mobile-Health
        Digital Medical Imaging
        Remote Patient Monitoring (RPM)
        Electro-Cardiogram Telemonitoring
        Blood Pressure Telemonitoring
        Glucose Level Telemonitoring
        Body Temperature Telemonitoring
        Stored And Forward
    TELEMEDICINE
        Types of Telemedicine Services
        Tele-Consultancy
        Tele-Emergency
        Tele-Diagnosis
        Tele-Psychiatry
        Tele-Dentistry
        Robotic Surgery
    OTHER FUNCTIONAL SYSTEMS OF E-HEALTH SYSTEM
        Clinical ICT System
        Integrated Healthcare System
        Health IT Support System
        Online Health Information System
        Public Health Data Collection and Analysis
        Consumer Health Informatics Applications
        Telemedicine in Developing Countries
    CONCLUSION
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Fuzzy Logic Implementation in Patient Monitoring System for Lymphatic Treatment of Leg Pain
    Abstract:
    INTRODUCTION
    LITERATURE REVIEW
        Definition of Computational Intelligence
        Definition of Lymphatic System
        Lymphatic Treatment for Leg Pain
        Health Information Management System
        Security Issues Related to Data Breach
        Introduction to Double-Loop Learning
        Characteristics of Double-Loop Learning
        The Approach of Double-Loop in Patient Monitoring System
        Fuzzy Logic
        Application of Fuzzy Logic in Patient Monitoring System
    THE PROPOSED APPROACH
        Agile Model
        Agile SDLC Implementation in Double-Loop
        Patient Monitoring System with Fuzzy Logic Implementation
        Basic Algorithm Function (Fuzzy Logic)
        Fuzzy Logic Architecture
            A. Fuzzification Module
            B. Knowledge-based
            C. Inference Engine
            D. Defuzzification Module
        Development of Patient Monitoring System
            A. Define Variables
            B. Construct Membership Function
            C. Construct the Base Rules
            D. Fuzzification
            E. Defuzzification
    ACCURACY OF PROPOSED MODEL
        Software and Hardware Requirements
        Security Implementation in Health Monitoring System
            Digital Signature
            No Right-Click Script
    CONCLUSION AND FUTURE WORKS
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Safe Distance and Face Mask Detection using OpenCV and MobileNetV2
    Abstract
    INTRODUCTION
    LITERATURE REVIEW
    DATASET DESCRIPTION
    SYSTEM ARCHITECTURE
        Applying the Face Mask and Safe Distance Detector
    METHODOLOGY ON FACE-MASK-NET MODEL
        Details of Facemasknet Detection Model
        Convolutional Neural Network
        MobileNetV2
        Learning Rate
    SOCIAL DISTANCING MONITORING
        Distance Measurement using OpenCV
        Social Distance Based on YOLO-v3
    RESULTS AND DISCUSSION
    CONCLUSION
    FUTURE SCOPE
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Performance Evaluation of ML Algorithms for Disease Prediction Using DWT and EMD Techniques
    Abstract
    INTRODUCTION
        Datasets Preparation
        Pre-processing
        Feature Extraction Techniques
        Discrete Wavelet Transformation
        Empirical Mode Decomposition
        Kth-Nearest Neighbor
        Decision Tree Classifier
        Random Forest
        Support Vector Machine
        Stochastic Gradient Descent (SGD)
        Multi-level Perception
        Performance Evaluation
        Accuracy
        Precision Score
        Recall Score
        F1. Score
    Results
        ML Algorithms for Disease Prediction using DWT and EMD Tech, CI and ML, Approaches in the Field of BM and HC 13
        Feature Extraction using DWT and EMD
        ML Algorithms for Disease Prediction Using DWT and EMD tech, CI and M, Approaches in the Field of BM and HC 15
        ML Algorithms for Disease Prediction Using DWT and EMD Tech, CI and ML, Approaches in the Field of BM and HC 17
        CI and ML approaches in the field of BM and HC Viswavardhan et al.
        ML Algorithms for Disease Prediction Using DWT and EMD Tech, CI and ML, Approaches in the Field of BM and HC 19
    CONCLUDING REMARKS
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Cardiovascular Disease Preventive Prediction and Medication (CVDPPM) - A Model Based on AI Techniques for Prediction and Timely Medical Assistance
    Abstract
    INTRODUCTION
    LITERATURE SURVEY
        IoT Based CVD
        Cloud Storage of Health Records
    CARDIOVASCULAR DISEASE PREVENTIVE PREDICTION AND MEDICATION (CVDPPM) MODEL
    IMPLEMENTATION OF ML ALGORITHMS FOR PREDICTION OF CVD
        Data Set Predictors:
        Information by positive and negative heart disease patients are given in Tables 3 and 4.
        Model 1: Logistic Regression
        Model 2: K-NN (K-Nearest Neighbors)
        Model 3: SVM (Support Vector Machine)
        Model 4: Naive Bayes Classifier
        Model 5: Decision Trees
        Model 6: Random Forests
        Model 7: XGBoost
        Making the Confusion Matrix
        Instructions to Deduce Information from the Confusion Matrix
        Highlight Importance
    CONCLUSION
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Personalized Smart Diabetic System Using Hybrid Models of Neural Network Algorithms
    Abstract
    INTRODUCTION
    CHALLENGES IN HEALTHCARE
    LITERATURE SURVEY
    HYBRID NEURAL NETWORK APPROACH
        Dataset Collection
        Data Processing
        Personalized Analysis Layer
            Common Users
            Healthcare Providers
            Diabetics Patients
            Data Sharing Layer
    RESULTS AND DISCUSSION
    CONCLUSION AND FUTURE SCOPE
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
A Framework of Smart Mobile Application for Vehicle Health Monitoring
    Abstract
    INTRODUCTION
    LITERATURE SURVEY
        Challenges in VMMS Architecture System
        Challenges in the DTC Coding System
        Challenges in Automotive Diagnostic Command Set
        Challenges in Digital Twin Model
    APPROACH
        Architecture
        Methodology
        Cloud Application Deployment
            Cloud Application
        Identity and Access Management
    RESULTS AND ANALYSIS
    DATASET DESCRIPTION
    SENSOR PREDICTED
    CONCLUSION
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES
Progression Prediction and Classification of Alzheimer’s Disease using MRI
    Abstract
    INTRODUCTION
    REVIEW OF THE LITERATURE
    METHODOLOGY OF PPC-AD-MRI
        Random Forest Classifier (RFC)
        Algorithm for Random Forest
        K Nearest Neighbor (KNN) Classifier
        Extreme Gradient Boosting (XGB)
    RESULTS AND DISCUSSION
        Dataset Description
        Performance Evaluation Matrices
    Conclusion
    CONSENT FOR PUBLICATION
    CONFLICT OF INTEREST
    ACKNOWLEDGEMENTS
    REFERENCES