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Smart Healthcare System Design
Читать книгу Smart Healthcare System Design - Группа авторов - Страница 1
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Страница 1
Table of Contents
List of Illustrations
List of Tables
Guide
Pages
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Preface
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1
Machine Learning Technologies in IoT EEG-Based Healthcare Prediction
1.1 Introduction
1.1.1 Descriptive Analytics
1.1.2 Analytical Methods
1.1.3 Predictive Analysis
1.1.4 Behavioral Analysis
1.1.5 Data Interpretation
1.1.6 Classification
1.2 Related Works
1.3 Problem Definition
1.4 Research Methodology
1.4.1 Components Used
1.4.2 Specifications and Description About Components
1.4.2.1 Arduino
1.4.2.2 EEG Sensor—Mindwave Mobile Headset
1.4.2.3 Raspberry pi
1.4.2.4 Working
1.4.3 Cloud Feature Extraction
1.4.4 Feature Optimization
1.4.5 Classification and Validation
1.5 Result and Discussion 1.5.1 Result
1.5.2 Discussion
1.6 Conclusion
1.6.1 Future Scope
References
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2
Smart Health Application for Remote Tracking of Ambulatory Patients
2.1 Introduction
2.2 Literature Work
2.3 Smart Computing for Smart Health for Ambulatory Patients
2.4 Challenges With Smart Health
2.4.1 Emergency Support
2.4.2 The Issue With Chronic Disease Monitoring
2.4.3 An Issue With the Tele-Medication
2.4.4 Mobility of Doctor
2.4.5 Application User Interface Issue
2.5 Security Threats
2.5.1 Identity Privacy
2.5.2 Query Privacy
2.5.3 Location of Privacy
2.5.4 Footprint Privacy and Owner Privacy
2.6 Applications of Fuzzy Set Theory in Healthcare and Medical Problems
2.7 Conclusion
References
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