This book offers in-depth reviews of different techniques and novel approaches of using blockchain and artificial intelligence in smart healthcare services. The volume brings 14 reviews and research articles written by academicians, researchers and industry professionals to give readers a current perspective of smart healthcare solutions for medical and public health services.
The book starts with examples of how blockchain can be applied in healthcare services such as the care of osteoporosis patients and security. Several chapters review AI models for disease detection including breast cancer, colon cancer and anemia. The authors have included model design and parameters for the benefit of professionals who want to implement specific algorithms. Furthermore, the book also includes chapters on IoT frameworks for smart healthcare systems, giving readers a primer on how to utilize the technology in this sector. Additional use cases for machine learning for gesture learning. COVID-19 management, and sentiment analysis.
The book starts with examples of how blockchain can be applied in healthcare services such as the care of osteoporosis patients and security. Several chapters review AI models for disease detection including breast cancer, colon cancer and anemia. The authors have included model design and parameters for the benefit of professionals who want to implement specific algorithms. Furthermore, the book also includes chapters on IoT frameworks for smart healthcare systems, giving readers a primer on how to utilize the technology in this sector. Additional use cases for machine learning for gesture learning. COVID-19 management, and sentiment analysis.
Readership
Academic, professional, and students affiliated institutions involved in digital transformation in the healthcare sector.Table of Contents
CHAPTER 1 BLOCKCHAIN ASSOCIATED MACHINE LEARNING APPROACH FOR- EARLIER PROGNOSIS AND PRECLUSION OF OSTEOPOROSIS IN ELDERLY
- Kottaimalai Ramaraj, Pallikonda Rajasekaran Murugan, Gautam Amiya,
- Vishnuvarthanan Govindaraj, Muneeswaran Vasudevan, Thirumurugan, Yu-Dong
- Zhang, Sheik Abdullah and Arunprasath Thiyagarajan
- INTRODUCTION
- Related Studies
- METHODOLOGY IN THE PROPOSED WORK
- Principal Component Analysis (PCA)
- Weighted kNN
- Proposed PCA-wkNN
- Dataset Description
- Implementation and Results
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- NAIL COLOR USING MACHINE LEARNING ALGORITHMS
- K. Sujatha, Victo Sudha George, NPG. Bhavani, T. Kalpatha Reddy, N. Kanya and
- A. Ganesan
- INTRODUCTION
- RELATED STUDIES
- OBJECTIVES AND NOVELTY OF THE PROPOSED WORK
- Scientific Significance
- Gaps to be Covered through Proposed Work
- Technical Solution
- Methodology
- Results and Discussion
- Comparison of the System Taken up for Development
- Principle or Operation
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- AND SECURE HEALTHCARE: A COVID-19 PERSPECTIVE
- S. Sheik Asraf, Jins K. Abraham and Shalini Mohan
- INTRODUCTION
- ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS
- Role of Bioinformatics in Healthcare
- Role of Artificial Intelligence in Healthcare
- Artificial Intelligence, Healthcare, and Bioinformatics: A Win-Win Combination
- Biology of SARS-COV2
- BATS and SARS-COV-2
- Bioinformatics Study of SARS-COV-2
- ARTIFICIAL INTELLIGENCE AND BIOINFORMATICS PROMISE SMART AND
- SECURE HEALTHCARE AMIDST COVID-19 OUTBREAK
- IN SILICO COMPARATIVE ANALYSIS OF GENOME AND PROTEOME OF SARS-
- COV2 WITH THE BAT, VIROME PROMISES GATEWAY FOR HEALTH-CARE
- Selection of Target Organisms
- Global and Local Pairwise Alignment of the Genomes of SARS-CoV2 and the Study
- Species from Bat Virome
- Phylogenetic Tree Analysis
- Global and Local Pairwise Alignment of the RNA-dependent RNA Polymerase Sequences
- of SARS-CoV2 and the Study Species from bat Virome
- Multiple Sequence Alignment of RNA-dependent RNA Polymerase Sequences of SARS-
- CoV2 and the viral Study Species from Bat Virome
- Phylogenetic Analysis
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- NEURAL NETWORK
- Tabiya Manzoor Beigh
- INTRODUCTION
- APPROACHES FOR BREAST CANCER DETECTION
- 2D Mammograms
- 3D Mammograms or Computed Tomography (CT) Scans
- Ultrasound
- Magnetic Resonance Imaging (MRI)
- Positron Imaging Test (PET) Scan
- Thermography
- Histopathology
- Deep Learning-based Method for Breast Cancer Detection
- TRADITIONAL MACHINE LEARNING MODELS IN BREAST CANCER DETECTION
- USING MAMMOGRAMS
- ARTIFICIAL NEURAL NETWORKS IN BREAST CANCER DETECTION USING
- MAMMOGRAMS
- CONVOLUTIONAL NEURAL NETWORKS (CNN) IN BREAST CANCER DETECTION
- USING MAMMOGRAMS
- TRANSFER LEARNING (TL) BASED CNN
- RESIDUAL LEARNING (RL) BASED CNN
- PROPOSED METHODOLOGY
- Blockchain
- Result Analysis
- Comparison of Capsule Neural Network-based and Convolutional Neural Network-based
- Breast Cancer Detection
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- AND DEEP FEATURE FUSION MODEL USING MLO AND CC VIEW MAMMOGRAMS
- S. Sasikala and S. Arun Kumar
- INTRODUCTION
- RELATED STUDY
- MATERIALS AND METHODS
- RESULTS AND DISCUSSIONS
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- OF COLORECTAL CANCER
- Aashna Mehta, Wireko Andrew Awuah, Sucharu Asri, Muhammad Jawad Zahid, Jyi
- Cheng Ng, Heli Patel, Helen Huang, Katherine Candelario, Ayush Anand, Toufik-
- Abdul Rahman, Vladyslav Sikora and Arda Isik
- INTRODUCTION
- OVERVIEW OF AI IN DIAGNOSTIC MEDICINE
- EMBRACING ARTIFICIAL INTELLIGENCE IN ONCOLOGY
- Role of AI in the Detection of Cancers as Evidenced by Current Literature
- Role of AI in Oncological Treatment
- Influence of AI in the Prognosis of Cancers
- THE ADVENT OF AI IN DIAGNOSTIC COLONOSCOPY
- CHALLENGES TO AI COLONOSCOPY IMPLEMENTATION AND ITS LIMITATIONS 117
- POTENTIAL ROLE OF INTEGRATING AI AND BLOCKCHAIN IN DIAGNOSTIC
- IMAGING
- CONCLUSION
- REFERENCES
- HEALTHCARE PRODUCTS FOR PATIENTS USING THE INTERNET OF THINGS
- Imtiaz Ahmed, Gousia Habib, Jameel Ahamed and Pramod Kumar Yadav
- INTRODUCTION
- IOT CAPABILITIES OF DEVICES
- Blockchain Technology in Work
- Blockchain Proposed Methodology
2. Transparency and Real-time Tracking
3. Smart Contracts for Automated Processes
4. Supplier Verification and Compliance
5. Immutable Records for Auditing
- What is the role of security/privacy in this process?
2. Secure Authentication
3. End-to-End Encryption
4. Privacy by Design
5. Data Minimization
6. Secure Storage
7. Regular Software Updates
8. User Consent and Control
10. Regular Security Audits
11. Compliance with Regulations
- IOT ARCHITECTURES
- SMART HEALTHCARE APPLICATIONS
- Devices for Monitoring Healthcare
- Remote Patient Supervision
- Glucose Monitoring
- Heart-rate Monitoring
- Hand Hygiene Monitoring
- The Importance of Security for IoT in Healthcare
- SMART HEALTHCARE CLASSIFICATIONS
- SMART HEALTHCARE NEEDS, CHARACTERISTICS, AND COMPONENTS
- IoT for Smart Healthcare
- INTELLIGENT HEALTHCARE: RECENT TRENDS IN THE INDUSTRY AND NEW
- PRODUCTS
- CHALLENGES, VULNERABILITIES, AND OPPORTUNITIES OF SMART
- HEALTHCARE
- THE NANO SMART HEALTHCARE
- CONCLUSION AND FUTURE SCOPE
- REFERENCES
- Gousia Habib, Imtiaz Ahmed, Omerah Yousuf and Malik Ishfaq
- INTRODUCTION
- PRIVATE BLOCKCHAIN NETWORK
- BLOCKCHAIN SECURITY IN HEALTHCARE
- ENCRYPTION
- AUDIT TRAILS AND LOGGING
- DATA MINIMIZATION AND REDACTION
- CONSENT MANAGEMENT
- DATA SEGMENTATION
- REGULAR SECURITY AUDITS AND PENETRATION TESTING
- VENDOR SECURITY ASSESSMENTS
- TRAINING AND AWARENESS
- INCIDENT RESPONSE PLAN
- DATA BACKUPS AND RECOVERY
- BLOCKCHAIN TECHNOLOGY
- Internet of Medical Things (IOMT) in Blockchain
- How Blockchain Works
- Types of Blockchains
- ENHANCED QUALITY CONTROL OF PATIENT RECORDS - PROPOSED WORK
- POLICE BRUTALITY IS AN INFRINGEMENT OF HUMAN RIGHTS IN INDIA
- Here are Some Alternative Section Title Suggestions that You Could use Instead
- Registration Contract with Patients
- ADVANTAGES OF BLOCKCHAIN TECHNOLOGY
- Challenges Faced by Blockchain Technology in the Healthcare Industry
- EHR-entity Relationship
- Blockchain Technology in Healthcare Data Management
- CONCLUSION, LIMITATIONS, AND FUTURE SCOPE
- REFERENCES
- USING EMBEDDED VISION-BASED GESTURE RECOGNITION THROUGH DEEP
- LEARNING
- S. Arun Kumar, S. Sasikala and N. Arun
- INTRODUCTION
- RELATED STUDIES
- MATERIALS AND METHODS
- Dataset
- Pre-Processing
- Image Feature Extraction
- FAST and BRIEF
- Oriented Fast and Rotated Brief (ORB)
- Speeded-Up and Robust Feature
Author
- Arvind K.Sharma
- Dalip Kamboj
- Savita Wadhawan
- Gousia Habib
