<p>Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COV
Data analytics for pandemics: a COVID-19 case study
β Scribed by Shinde, Gitanjali Rahul
- Publisher
- CRC Press
- Year
- 2020
- Tongue
- English
- Leaves
- 85
- Series
- Intelligent signal processing and data analysis
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Cover......Page 1
Half Title......Page 2
Series Page......Page 3
Title Page......Page 4
Copyright Page......Page 5
Table of Contents......Page 6
Preface......Page 10
Acknowledgment......Page 12
Authors......Page 14
1.1 Introduction......Page 18
1.2.1 Stages of Disease......Page 20
1.2.2.2 Pandemic Mitigation......Page 22
1.2.2.4 History of Pandemics......Page 23
1.3 Novel Coronavirus......Page 24
1.4 Medical Overview β Nature and Spread......Page 27
1.5 Vulnerability Index......Page 28
References......Page 29
2.1 Data Sources and Related Challenges......Page 32
2.2 Data Storage: Platform......Page 36
2.2.1 Storage Services......Page 37
2.2.2 Big Data Analytics Services......Page 41
2.2.3 Data Warehousing Services......Page 42
2.3 Data Processing......Page 43
2.3.2 Noise Treatment......Page 45
2.4.1.1 Knowledge Extraction from Text Data......Page 46
2.4.1.2 Knowledge Extraction from Image Data......Page 48
2.4.1.4 Knowledge Extraction from Video Data......Page 49
2.4.2 Knowledge Extraction Techniques......Page 50
References......Page 51
3.1.1 WEB 2.0......Page 54
3.1.2 Critical Thinking......Page 55
3.1.4 R Programming Language......Page 56
3.2 Data Visualization......Page 57
3.2.1.2 Predictive Analytics......Page 58
3.3 Data Models and Performance......Page 59
3.3.1 Data Modeling Phases......Page 60
3.3.2 Ensemble Data Model......Page 61
3.4 Big Data Techniques......Page 63
3.4.2 Classification Tree Analysis......Page 64
3.4.4 Machine Learning......Page 65
3.4.6 Social Network Analysis......Page 66
3.5 Big Data Tools and Technology......Page 67
References......Page 71
4.1.1 COVID-19 Spread in China......Page 74
4.2 Mitigation Strategies and Discussion......Page 75
4.4 Recommendations......Page 77
4.4.3 Recommendations for Hospital Management: Adults......Page 78
4.4.3.1 IPC Measures......Page 79
4.5 Conclusions......Page 80
References......Page 82
Index......Page 84
β¦ Subjects
Big data;COVID-19 (Disease)--Data processing;COVID-19 (Disease)--Forecasting;COVID-19 (Disease)--Statistical methods;COVID-19 (Disease) -- Statistical methods;COVID-19 (Disease) -- Data processing;COVID-19 (Disease) -- Forecasting
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