Computational Intelligence and Healthcare Informatics. Группа авторов
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Название: Computational Intelligence and Healthcare Informatics
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Программы
isbn: 9781119818694
isbn:
7 Part III: Machine Learning and COVID Prospective 11 COVID-19: Classification of Countries for Analysis and Prediction of Global Novel Corona Virus Infections Disease Using Data Mining Techniques 11.1 Introduction 11.2 Literature Review 11.3 Data Pre-Processing 11.4 Proposed Methodologies 11.5 Experimental Results 11.6 Conclusion and Future Scopes References 12 Sentiment Analysis on Social Media for Emotional Prediction During COVID-19 Pandemic Using Efficient Machine Learning Approach 12.1 Introduction 12.2 Literature Review 12.3 System Design 12.4 Result and Discussion 12.5 Conclusion References 13 Primary Healthcare Model for Remote Area Using Self-Organizing Map Network 13.1 Introduction 13.2 Background Details and Literature Review 13.3 Methodology 13.4 Results and Discussion 13.5 Conclusion References 14 Face Mask Detection in Real-Time Video Stream Using Deep Learning 14.1 Introduction 14.2 Related Work 14.3 Proposed Work 14.4 Results and Evaluation 14.5 Conclusion References 15 A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms 15.1 Introduction 15.2 Research Problem Statements 15.3 Dataset Description 15.4 Machine Learning Technique Used for Skin Disease Identification 15.5 Result and Analysis 15.6 Conclusion References 16 Asymptotic Patients’ Healthcare Monitoring and Identification of Health Ailments in Post COVID-19 Scenario 16.1 Introduction 16.2 Material Properties and Design Specifications 16.3 Experimental Methods and Materials 16.4 Simulation Results 16.5 Conclusion 16.6 Abbreviations and Acronyms References 17 COVID-19 Detection System Using Cellular Automata–Based Segmentation Techniques 17.1 Introduction 17.2 Literature Survey 17.3 Proposed Methodology 17.4 Results and Discussion 17.5 Conclusion References 18 Interesting Patterns From COVID-19 Dataset Using Graph-Based Statistical Analysis for Preventive Measures 18.1 Introduction 18.2 Methods 18.3 GSA Model: Graph-Based Statistical Analysis 18.4 Graph-Based Analysis 18.5 Machine Learning Techniques 18.6 Exploratory Data Analysis СКАЧАТЬ