Explainable Machine Learning for Multimedia Based Healthcare Applications

Foreword.- Preface.- Acknowledgement.- Table of Contents.- Chapter 1:.- Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM.- Chapter 2:.- Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects.- Chapter 3:.- Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence.- Chapter 4:.- Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI.- Chapter 5:.- Explainable Machine Learning in Healthcare.- Chapter 6:.- Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images.- Chapter 7:.- A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI.- Chapter 8:.- A Brief Review of Explainable Artificial Intelligence Reviews and Methods.- Chapter 9:.- Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical.- Chapter 10:.- Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research.- Chapter 11:.- Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics.- Chapter 12:.- Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.