Читать книгу Bioinformatics and Medical Applications - Группа авторов - Страница 2
Table of Contents
Оглавление1 Cover
4 Preface
5 1 Probabilistic Optimization of Machine Learning Algorithms for Heart Disease Prediction 1.1 Introduction 1.2 Literature Review 1.3 Tools and Techniques 1.4 Proposed Method 1.5 Conclusion References
6 2 Cancerous Cells Detection in Lung Organs of Human Body: IoT-Based Healthcare 4.0 Approach 2.1 Introduction 2.2 Literature Review 2.3 Proposed Systems 2.4 Experimental Results and Analysis 2.5 Novelties 2.6 Future Scope, Limitations, and Possible Applications 2.7 Recommendations and Consideration 2.8 Conclusions References
7 3 Computational Predictors of the Predominant Protein Function: SARS-CoV-2 Case 3.1 Introduction 3.2 Human Coronavirus Types 3.3 The SARS-CoV-2 Pandemic Impact 3.4 Computational Predictors 3.6 Future Implications 3.7 Acknowledgments References
8 4 Deep Learning in Gait Abnormality Detection: Principles and Illustrations 4.1 Introduction 4.2 Background 4.3 Related Works 4.4 Methods 4.5 Conclusion and Future Work 4.6 Acknowledgments References
9 5 Broad Applications of Network Embeddings in Computational Biology, Genomics, Medicine, and Health 5.1 Introduction 5.2 Types of Biological Networks 5.3 Methodologies in Network Embedding 5.4 Attributed and Non-Attributed Network Embedding 5.5 Applications of Network Embedding in Computational Biology 5.6 Limitations of Network Embedding in Biology 5.7 Conclusion and Outlook References
10 6 Heart Disease Classification Using Regional Wall Thickness by Ensemble Classifier 6.1 Introduction 6.2 Related Study 6.3 Methodology 6.4 Implementation and Result Analysis 6.5 Conclusion References
11 7 Deep Learning for Medical Informatics and Public Health 7.1 Introduction 7.2 Deep Learning Techniques in Medical Informatics and Public Health 7.3 Applications of Deep Learning in Medical Informatics and Public Health 7.4 Open Issues Concerning DL in Medical Informatics and Public Health 7.5 Conclusion References
12 8 An Insight Into Human Pose Estimation and Its Applications 8.1 Foundations of Human Pose Estimation 8.2 Challenges to Human Pose Estimation 8.3 Analyzing the Dimensions 8.4 Standard Datasets for Human Pose Estimation 8.5 Deep Learning Revolutionizing Pose Estimation 8.6 Application of Human Pose Estimation in Medical Domains 8.7 Conclusion References
13 9 Brain Tumor Analysis Using Deep Learning: Sensor and IoT-Based Approach for Futuristic Healthcare 9.1 Introduction 9.2 Literature Survey 9.3 System Design and Methodology 9.4 Novelty in Our Work 9.5 Future Scope, Possible Applications, and Limitations 9.6 Recommendations and Consideration 9.7 Conclusions References
14 10 Study of Emission From Medicinal Woods to Curb Threats of Pollution and Diseases: Global Healthcare Paradigm Shift in 21st Century 10.1 Introduction 10.2 Literature Survey 10.3 The Methodology and Protocols Followed 10.4 Experimental Setup of an Experiment 10.5 Results and Discussions
15 11 An Economical Machine Learning Approach for Anomaly Detection in IoT Environment 11.1 Introduction 11.2 Literature Survey 11.3 Proposed Work 11.4 Analysis of the Work 11.5 Conclusion References
16 12 Indian Science of Yajna and Mantra to Cure Different Diseases: An Analysis Amidst Pandemic With a Simulated Approach 12.1 Introduction 12.2 Literature Survey 12.3 Methodology 12.4 Results and Discussion 12.5 Interpretations and Analysis 12.6 Novelty in Our Work 12.7 Recommendations 12.8 Future Scope and Possible Applications 12.9 Limitations 12.10 Conclusions 12.11 Acknowledgments References
17 13 Collection and Analysis of Big Data From Emerging Technologies in Healthcare 13.1 Introduction 13.2 Data Collection 13.3 Data Analysis 13.4 Research Trends 13.5 Conclusion References
18 14 A Complete Overview of Sign Language Recognition and Translation Systems 14.1 Introduction 14.2 Sign Language Recognition 14.3 Dataset Creation 14.4 Hardware Employed for Sign Language Recognition 14.5 Computer Vision–Based Sign Language Recognition and Translation Systems 14.6 Sign Language Translation System—A Brief Overview 14.7 Conclusion References
19 Index
