Explores how the merging of interactive multimedia with artificial intelligence has created new and advanced tools in healthcare. It looks at how the latest technologies (AI, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, and more.
Explores how the merging of interactive multimedia with artificial intelligence has created new and advanced tools in healthcare. It looks at how the latest technologies (AI, deep learning, machine learning, big data, IoT, smart device, etc.) help to manage health data, diagnose health issues, monitor treatment, and more.
Shaveta Malik, PhD, is Associate Professor in the Computer Engineering Department at Terna Engineering College, University of Mumbai, Nerul, India. She has more than 11 years of teaching and research experience. She is a member of numerous editorial boards and scientific and advisory committees of international conferences and journals. She has been a co-chair at international conferences also. Her research area focuses on image processing, machine learning, deep learning, and artificial intelligence. Amit Kumar Tyagi, PhD, is Assistant Professor (Senior Grade) and Senior Researcher at Vellore Institute of Technology, Chennai Campus, India. His current research focuses on machine learning with big data, blockchain technology, data science, cyber-physical systems, smart computing, and security and privacy. He has contributed to several projects such as AARIN and P3-Block to address some of the open issues related to privacy breaches in vehicular applications (such as parking) and medical cyber-physical systems. He is a member of IEEE.
Inhaltsangabe
PART 1: INTRODUCTION OF MULTIMEDIA IN HEALTHCARE APPLICATIONS 1. Data Visualization for Healthcare 2. Health Monitoring and Management System Using Machine Learning Techniques 3. A Study on Fusion Methods and Their Applications in Medical Image Processing 4. A Study on Elderly Caretaker Bot Using Computer Vision and Artificial Intelligence 5. Knowledge Shift for Candidate Categorization in Lung Nodule Detection Using 3D Convolutional Neural Network PART 2: METHODS AND TECHNIQUES FOR SUPPORTING MULTIMEDIA SYSTEMS FOR E-HEALTHCARE 6. Data Mining Techniques: Risk-Wise Classification of Countries toward Prediction and Analysis of Worldwide COVID-19 Dataset 7. Mathematical Model of COVID-19 Diagnosis Prediction Using Machine Learning Techniques 8. Detection and Classification of Knee Osteoarthritis Using Texture Descriptor Algorithms 9. Sensor Cloud-Based Theoretical Machine Learning Models for Predicting Pandemic Diseases PART 3: APPLICATIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE SYSTEMS 10. Applications of Machine Learning Algorithms in Fetal ECG Enhancement for E-Healthcare 11. Blockchain for Wearable Internet of Things in Healthcare 12. AI-Based Robotics in E-Healthcare Applications 13. Automated Health Monitoring System (AHMS) Using the Internet of Things for Improving Healthcare 14. Biomedical Data Analysis: Current Status and Future Trends PART 4: FUTURE RESEARCH DIRECTIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE ENVIRONMENT 15. Healthcare 4.0 in Prospective of Respiratory Support System and Artificial Lung 16. Lifestyle Revolution: The Way to Healthcare, Case of India PART 5: SHIFTING OF HEALTHCARE SYSTEMS TOWARD EMERGING TECHNOLOGIES 17. Internet of Things-Based Cloud Applications: Open Issues, Challenges, and Future Research Directions 18. Genomics and Genetic Data: A Third Eye for Doctors
PART 1: INTRODUCTION OF MULTIMEDIA IN HEALTHCARE APPLICATIONS 1. Data Visualization for Healthcare 2. Health Monitoring and Management System Using Machine Learning Techniques 3. A Study on Fusion Methods and Their Applications in Medical Image Processing 4. A Study on Elderly Caretaker Bot Using Computer Vision and Artificial Intelligence 5. Knowledge Shift for Candidate Categorization in Lung Nodule Detection Using 3D Convolutional Neural Network PART 2: METHODS AND TECHNIQUES FOR SUPPORTING MULTIMEDIA SYSTEMS FOR E-HEALTHCARE 6. Data Mining Techniques: Risk-Wise Classification of Countries toward Prediction and Analysis of Worldwide COVID-19 Dataset 7. Mathematical Model of COVID-19 Diagnosis Prediction Using Machine Learning Techniques 8. Detection and Classification of Knee Osteoarthritis Using Texture Descriptor Algorithms 9. Sensor Cloud-Based Theoretical Machine Learning Models for Predicting Pandemic Diseases PART 3: APPLICATIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE SYSTEMS 10. Applications of Machine Learning Algorithms in Fetal ECG Enhancement for E-Healthcare 11. Blockchain for Wearable Internet of Things in Healthcare 12. AI-Based Robotics in E-Healthcare Applications 13. Automated Health Monitoring System (AHMS) Using the Internet of Things for Improving Healthcare 14. Biomedical Data Analysis: Current Status and Future Trends PART 4: FUTURE RESEARCH DIRECTIONS FOR INTELLIGENT AND AUTOMATED HEALTHCARE ENVIRONMENT 15. Healthcare 4.0 in Prospective of Respiratory Support System and Artificial Lung 16. Lifestyle Revolution: The Way to Healthcare, Case of India PART 5: SHIFTING OF HEALTHCARE SYSTEMS TOWARD EMERGING TECHNOLOGIES 17. Internet of Things-Based Cloud Applications: Open Issues, Challenges, and Future Research Directions 18. Genomics and Genetic Data: A Third Eye for Doctors
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