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Computational Intelligence and Healthcare Informatics. Группа авторов
Читать онлайн.Название Computational Intelligence and Healthcare Informatics
Год выпуска 0
isbn 9781119818694
Автор произведения Группа авторов
Жанр Программы
Издательство John Wiley & Sons Limited
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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
18.7 Conclusion
18.8