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

Cover
Title
Copyright
End User License Agreement
Contents
Foreword
Preface
List of Contributors
Convolutional Neural Network for Denoising Left Ventricle Magnetic Resonance Images
Zakarya Farea Shaaf1, Muhammad Mahadi Abdul Jamil1,*, Radzi Ambar1 and Mohd Helmy Abd Wahab1
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
Bhimavarapu Usharani1,*
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
Ranjitha Vijay Anand1, Harshavardhini Parthiban1, Karthikeyan Subbiahanadar Chelladurai1, Jackson Durairaj Selvan Christyraj1,* and Johnson Retnaraj Samuel Selvan Christyraj1,*
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]
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
Fauziah Abdul Wahid1, Noor Anita Khairi2, Siti Aishah Muhammed Suzuki1,*, Rafidah Hanim Mokhtar1, Norita Md Norwawi1 and Roesnita Ismail1
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
B.S. Maya1,*, T. Asha1, P. Prajwal1, P.N. Revanth1, Pratik R Pailwan1 and Rahul Kumar Gupta1
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
Reddy K. Viswavardhan1,*, B. Hemapriya1, B. Roja Reddy1 and B.S. Premananda1
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
Y.V. Nagesh Meesala1,*, Sheik Khadar Ahmad Manoj1 and Ganapati Bhavana2
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
K. Abirami1, P. Deepalakshmi2,* and Shanmuk Srinivas Amiripalli3
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
K. Aswarth1 and S. Vasavi1,*
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
Sruthi Mohan1,* and S. Naganandhini2
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
Subject Index