The Internet of Medical Things (IoMT)
Healthcare Transformation
Herausgegeben:Hemalatha, R. J.; Akila, D.; Balaganesh, D.; Paul, Anand
The Internet of Medical Things (IoMT)
Healthcare Transformation
Herausgegeben:Hemalatha, R. J.; Akila, D.; Balaganesh, D.; Paul, Anand
- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
INTERNET OF MEDICAL THINGS (IOMT)
Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.
With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses -- and they are poised to evolve the future of care.
In this book, the authors…mehr
- Handbook on Intelligent Healthcare Analytics208,99 €
- SK PandaThe New Advanced Society227,99 €
- Kuldeep Singh Kaswan (Galgotias University, Uttar Pradesh, India)Swarm Intelligence161,99 €
- MS ManshahiaHandbook of Intelligent Computing and Optimization for Sustainable Development331,99 €
- JawareMedical Imaging and Health Informatics252,99 €
- Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics208,99 €
- SL TripathiIntelligent Green Technologies for Sustainable Smart Cities180,99 €
-
-
-
Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records.
With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses -- and they are poised to evolve the future of care.
In this book, the authors explore the potential applications of a wave of sensor-based tools--including wearables and stand-alone devices for remote patient monitoring--and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart.
This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.
- Produktdetails
- Advances in Learning Analytics for Intelligent Cloud-IoT Systems
- Verlag: Wiley & Sons / Wiley-Scrivener
- Artikelnr. des Verlages: 1W119768830
- 1. Auflage
- Seitenzahl: 336
- Erscheinungstermin: 29. März 2022
- Englisch
- Abmessung: 159mm x 239mm x 22mm
- Gewicht: 642g
- ISBN-13: 9781119768838
- ISBN-10: 1119768837
- Artikelnr.: 60895572
- Advances in Learning Analytics for Intelligent Cloud-IoT Systems
- Verlag: Wiley & Sons / Wiley-Scrivener
- Artikelnr. des Verlages: 1W119768830
- 1. Auflage
- Seitenzahl: 336
- Erscheinungstermin: 29. März 2022
- Englisch
- Abmessung: 159mm x 239mm x 22mm
- Gewicht: 642g
- ISBN-13: 9781119768838
- ISBN-10: 1119768837
- Artikelnr.: 60895572
1 In Silico Molecular Modeling and Docking Analysis in Lung Cancer Cell Proteins 1
Manisha Sritharan and Asita Elengoe
1.1 Introduction 2
1.2 Methodology 4
1.2.1 Sequence of Protein 4
1.2.2 Homology Modeling 4
1.2.3 Physiochemical Characterization 4
1.2.4 Determination of Secondary Models 4
1.2.5 Determination of Stability of Protein Structures 4
1.2.6 Identification of Active Site 4
1.2.7 Preparation of Ligand Model 5
1.2.8 Docking of Target Protein and Phytocompound 5
1.3 Results and Discussion 5
1.3.1 Determination of Physiochemical Characters 5
1.3.2 Prediction of Secondary Structures 7
1.3.3 Verification of Stability of Protein Structures 7
1.3.4 Identification of Active Sites 14
1.3.5 Target Protein-Ligand Docking 14
1.4 Conclusion 18
References 18
2 Medical Data Classification in Cloud Computing Using Soft Computing With Voting Classifier: A Review 23
Saurabh Sharma, Harish K. Shakya and Ashish Mishra
2.1 Introduction 24
2.1.1 Security in Medical Big Data Analytics 24
2.1.1.1 Capture 24
2.1.1.2 Cleaning 25
2.1.1.3 Storage 25
2.1.1.4 Security 26
2.1.1.5 Stewardship 26
2.2 Access Control-Based Security 27
2.2.1 Authentication 27
2.2.1.1 User Password Authentication 28
2.2.1.2 Windows-Based User Authentication 28
2.2.1.3 Directory-Based Authentication 28
2.2.1.4 Certificate-Based Authentication 28
2.2.1.5 Smart Card-Based Authentication 29
2.2.1.6 Biometrics 29
2.2.1.7 Grid-Based Authentication 29
2.2.1.8 Knowledge-Based Authentication 29
2.2.1.9 Machine Authentication 29
2.2.1.10 One-Time Password (OTP) 30
2.2.1.11 Authority 30
2.2.1.12 Global Authorization 30
2.3 System Model 30
2.3.1 Role and Purpose of Design 31
2.3.1.1 Patients 31
2.3.1.2 Cloud Server 31
2.3.1.3 Doctor 31
2.4 Data Classification 32
2.4.1 Access Control 32
2.4.2 Content 33
2.4.3 Storage 33
2.4.4 Soft Computing Techniques for Data Classification 34
2.5 Related Work 36
2.6 Conclusion 42
References 43
3 Research Challenges in Pre-Copy Virtual Machine Migration in Cloud Environment 45
Nirmala Devi N. and Vengatesh Kumar S.
3.1 Introduction 46
3.1.1 Cloud Computing 46
3.1.1.1 Cloud Service Provider 47
3.1.1.2 Data Storage and Security 47
3.1.2 Virtualization 48
3.1.2.1 Virtualization Terminology 49
3.1.3 Approach to Virtualization 50
3.1.4 Processor Issues 51
3.1.5 Memory Management 51
3.1.6 Benefits of Virtualization 51
3.1.7 Virtual Machine Migration 51
3.1.7.1 Pre-Copy 52
3.1.7.2 Post-Copy 52
3.1.7.3 Stop and Copy 53
3.2 Existing Technology and Its Review 54
3.3 Research Design 56
3.3.1 Basic Overview of VM Pre-Copy Live Migration 57
3.3.2 Improved Pre-Copy Approach 58
3.3.3 Time Series-Based Pre-Copy Approach 60
3.3.4 Memory-Bound Pre-Copy Live Migration 62
3.3.5 Three-Phase Optimization Method (TPO) 62
3.3.6 Multiphase Pre-Copy Strategy 64
3.4 Results 65
3.4.1 Finding 65
3.5 Discussion 69
3.5.1 Limitation 69
3.5.2 Future Scope 70
3.6 Conclusion 70
References 71<
1 In Silico Molecular Modeling and Docking Analysis in Lung Cancer Cell Proteins 1
Manisha Sritharan and Asita Elengoe
1.1 Introduction 2
1.2 Methodology 4
1.2.1 Sequence of Protein 4
1.2.2 Homology Modeling 4
1.2.3 Physiochemical Characterization 4
1.2.4 Determination of Secondary Models 4
1.2.5 Determination of Stability of Protein Structures 4
1.2.6 Identification of Active Site 4
1.2.7 Preparation of Ligand Model 5
1.2.8 Docking of Target Protein and Phytocompound 5
1.3 Results and Discussion 5
1.3.1 Determination of Physiochemical Characters 5
1.3.2 Prediction of Secondary Structures 7
1.3.3 Verification of Stability of Protein Structures 7
1.3.4 Identification of Active Sites 14
1.3.5 Target Protein-Ligand Docking 14
1.4 Conclusion 18
References 18
2 Medical Data Classification in Cloud Computing Using Soft Computing With Voting Classifier: A Review 23
Saurabh Sharma, Harish K. Shakya and Ashish Mishra
2.1 Introduction 24
2.1.1 Security in Medical Big Data Analytics 24
2.1.1.1 Capture 24
2.1.1.2 Cleaning 25
2.1.1.3 Storage 25
2.1.1.4 Security 26
2.1.1.5 Stewardship 26
2.2 Access Control-Based Security 27
2.2.1 Authentication 27
2.2.1.1 User Password Authentication 28
2.2.1.2 Windows-Based User Authentication 28
2.2.1.3 Directory-Based Authentication 28
2.2.1.4 Certificate-Based Authentication 28
2.2.1.5 Smart Card-Based Authentication 29
2.2.1.6 Biometrics 29
2.2.1.7 Grid-Based Authentication 29
2.2.1.8 Knowledge-Based Authentication 29
2.2.1.9 Machine Authentication 29
2.2.1.10 One-Time Password (OTP) 30
2.2.1.11 Authority 30
2.2.1.12 Global Authorization 30
2.3 System Model 30
2.3.1 Role and Purpose of Design 31
2.3.1.1 Patients 31
2.3.1.2 Cloud Server 31
2.3.1.3 Doctor 31
2.4 Data Classification 32
2.4.1 Access Control 32
2.4.2 Content 33
2.4.3 Storage 33
2.4.4 Soft Computing Techniques for Data Classification 34
2.5 Related Work 36
2.6 Conclusion 42
References 43
3 Research Challenges in Pre-Copy Virtual Machine Migration in Cloud Environment 45
Nirmala Devi N. and Vengatesh Kumar S.
3.1 Introduction 46
3.1.1 Cloud Computing 46
3.1.1.1 Cloud Service Provider 47
3.1.1.2 Data Storage and Security 47
3.1.2 Virtualization 48
3.1.2.1 Virtualization Terminology 49
3.1.3 Approach to Virtualization 50
3.1.4 Processor Issues 51
3.1.5 Memory Management 51
3.1.6 Benefits of Virtualization 51
3.1.7 Virtual Machine Migration 51
3.1.7.1 Pre-Copy 52
3.1.7.2 Post-Copy 52
3.1.7.3 Stop and Copy 53
3.2 Existing Technology and Its Review 54
3.3 Research Design 56
3.3.1 Basic Overview of VM Pre-Copy Live Migration 57
3.3.2 Improved Pre-Copy Approach 58
3.3.3 Time Series-Based Pre-Copy Approach 60
3.3.4 Memory-Bound Pre-Copy Live Migration 62
3.3.5 Three-Phase Optimization Method (TPO) 62
3.3.6 Multiphase Pre-Copy Strategy 64
3.4 Results 65
3.4.1 Finding 65
3.5 Discussion 69
3.5.1 Limitation 69
3.5.2 Future Scope 70
3.6 Conclusion 70
References 71<