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Healthcare Data Analytics and Management [Pehme köide]

Edited by (Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UK), Edited by , Edited by (Assistant Professor and Head of Electronics and Electrical Communication), Edited by

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.

  • Covers data analysis, management and security concepts and tools in the healthcare domain
  • Highlights electronic medical health records and patient information records
  • Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining
  • Includes multidisciplinary contributions in relation to healthcare applications and challenges
Contributors xiii
Foreword xvii
Preface xix
Chapter 1 Internet of Things, Smart Sensors, and Pervasive Systems: Enabling Connected and Pervasive Healthcare
1(58)
Pijush Kanti Dutta Pramanik
Bijoy Kumar Upadhyaya
Saurabh Pal
Tanmoy Pal
1 Introduction
2(1)
2 IoT, Smart Sensors, and Pervasive Computing
3(5)
2.1 IoT
3(1)
2.2 Smart Sensors Augmenting the IoT
4(1)
2.3 Pervasive Systems
5(1)
2.4 Difference Between Pervasive Systems and IoT
6(1)
2.5 IoT and Pervasive Systems: Complementing Each Other
6(2)
3 Challenges in Traditional Healthcare Systems
8(1)
4 Mobile and Pervasive Healthcare
9(5)
4.1 Context-Awareness in Healthcare
10(1)
4.2 Connected Healthcare
11(1)
4.3 Pervasive Healthcare Vs Telemedicine
11(3)
5 Role of IoT in Healthcare
14(1)
5.1 Clinical Care
14(1)
5.2 Remote Monitoring
14(1)
5.3 IoT and Medical Robotics
14(1)
6 Different Healthcare Sensors
15(13)
6.1 Basic Health Sensors
15(10)
6.2 Other Sensors Used in Medical Care Units
25(1)
6.3 Different Fitness Devices
26(2)
7 Benefits of Connected Healthcare
28(3)
8 Challenges in Connected Healthcare
31(3)
9 Healthcare Applications of Smart Sensors and IoT
34(6)
9.1 Smart Needle
36(1)
9.2 iTBra
36(1)
9.3 Coronary Artery Disease and IoT
37(1)
9.4 Personalized Medical Care
38(1)
9.5 Patient Monitoring
38(1)
9.6 Cardiac Rhythm Monitoring
39(1)
9.7 Cardiac Rehabilitation
39(1)
9.8 Handling COPD Problems
40(1)
9.9 Smart Contact Lens for Diabetics
40(1)
10 Use Cases
40(4)
10.1 Mississippi Blood Service: Maintaining Logistics Smartly
40(1)
10.2 Finding Treatment for COPD
41(1)
10.3 Lahey Clinic Medical Center: Tracking Healthcare Equipment in Real-Time
41(2)
10.4 Irin General Hospital: Improving Healthcare Quality
43(1)
10.5 Jefferson University Hospital: Providing Cognitive Environment of Care
43(1)
11 The IoT Healthcare Market: Present and Future
44(7)
12 Conclusion
51(1)
Acknowledgments
51(1)
References
51(8)
Chapter 2 Migration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and Management
59(30)
Dimpal Tomar
Jai Prakash Bhati
Pradeep Tomar
Gurjit Kaur
1 Introduction
60(6)
1.1 Healthcare Databases
61(1)
1.2 Data Migration Techniques
61(1)
1.3 Analysis of Data Migration Techniques for Healthcare
62(1)
1.4 Need for Data Migration from Schema to Schemaless Databases
63(2)
1.5 Challenges of Healthcare Data Migration from Relational to NoSQL Cloud Database
65(1)
2 NoSQL Cloud-Based Technology for Healthcare
66(3)
2.1 Technology Background of NoSQL Cloud-Based Databases for Healthcare
66(2)
2.2 Applications of NoSQL Cloud-Based Technology in Healthcare
68(1)
3 Cloud-Based Databases for Healthcare
69(3)
3.1 Cloud-Based Database Architecture
69(1)
3.2 Technology/Services Used for Storage and Retrieval of Cloud Databases
69(1)
3.3 Analysis of Cloud Databases for Healthcare
70(1)
3.4 Applications of Cloud Databases for Healthcare
70(1)
3.5 Challenges in Accessing Cloud Databases for Healthcare
70(2)
4 Relational Database of Healthcare to NoSQL Cloud Databases
72(12)
4.1 General Guidelines Involved in Migration from SQL to NoSQL Databases
72(1)
4.2 Data Migration Tools for SQL to NoSQL Databases
73(11)
4.3 System Properties Comparison Among Data Migration Tools
84(1)
5 Conclusion
84(1)
References
85(2)
Further Reading
87(2)
Chapter 3 Developing a Decision Support System for Big Data Analysis and Cost Allocation in National Healthcare
89(22)
Mahdiyeh Yousefi Tabari
Azizollah Memariani
Omid Mahdi Ebadati E.
1 Introduction
89(2)
2 Literature Review
91(3)
3 Mathematical Model for Cost Allocation
94(4)
4 System Design
98(7)
5 Discussions
105(1)
6 Conclusions and Future Work
106(1)
References
107(4)
Chapter 4 Securing Large Datasets Involving Fast-Performing Key Bunch Matrix Block Cipher
111(22)
Shirisha Kakarla
1 Introduction
111(2)
2 Database Security Threats
113(1)
3 Database Security Measures Adopted Worldwide
114(4)
4 Development of the Fast Dataset Block Cipher
118(4)
5 Illustration and the Outcomes
122(4)
6 Simulation Set-Up and Performance Analysis
126(2)
7 Cryptanalysis
128(2)
8 Conclusions and Future Scope
130(1)
References
131(1)
Further Reading
132(1)
Chapter 5 Comparative Analysis of Semantic Frameworks in Healthcare
133(22)
Pinal Shah
Amit Thakkar
1 Introduction
2 Background Work
136(6)
2.1 Data, Information, and Knowledge
136(1)
2.2 Semantic Web Overview
137(1)
2.3 Linked Data Principles
138(1)
2.4 RDF: Healthcare Information Representation
138(1)
2.5 SPARQL (SPARQL Protocol and RDF Query Language)
139(1)
2.6 Role of RDF and SPARQL in Semantic Healthcare
140(1)
2.7 Ontology
140(1)
2.8 Introduction to Multiagent Systems in Semantic Healthcare
141(1)
3 Healthcare Semantic Frameworks and Software
142(5)
3.1 Healthcare Semantic Frameworks
142(4)
3.2 Role of Existing Semantic Software in Healthcare
146(1)
4 Research Issues
147(5)
4.1 Current Research Challenges
147(1)
4.2 Existing Information Retrieval Methods in Semantic Web
148(1)
4.3 Interoperability in Healthcare
149(1)
4.4 Comparison of Existing Frameworks
149(1)
4.5 Proposed Framework
149(2)
4.6 Implementation of Multiagent System
151(1)
5 Conclusion
152(1)
References
152(2)
Further Reading
154(1)
Chapter 6 Smart Ambulance System Using Concept of Big Data and Internet of Things
155(22)
Ankur Dumka
Anushree Sah
1 Introduction
155(4)
1.1 Remote Health Care
156(1)
1.2 Medical History Data
157(1)
1.3 Telemedicine
157(2)
2 Techniques and Technologies
159(7)
2.1 Internet of Things
159(1)
2.2 Big Data
160(1)
2.3 Cloud Computing
161(2)
2.4 Wireless Body Access Network
163(2)
2.5 Case Study
165(1)
3 Proposed Design
166(8)
3.1 Technicalities of Smart Ambulance
168(4)
3.2 Conclusions
172(2)
4 Results
174(1)
References
175(1)
Further Reading
176(1)
Chapter 7 Mathematical Methods of ECG Data Analysis
177(34)
Mitko Gospodinov
Evgeniya Gospodinova
Galya Georgieva-Tsaneva
1 Introduction
177(2)
2 Preprocessing ECG Signals
179(2)
3 Mathematical Methods of ECG Data Analysis of HRV
181(13)
3.1 Linear Methods
181(10)
3.2 Nonlinear Methods
191(2)
3.3 Poincare Plot
193(1)
4 The Influence of Cardiovascular Disease and Obesity on HRV
194(11)
4.1 Time-Domain Analysis of HRV of Patients With Cardiovascular Disease
194(2)
4.2 Frequency-Domain Analysis of HRV of Patients With Cardiovascular Disease
196(1)
4.3 Time-Frequency Analysis of HRV of Patients With Cardiovascular Disease
197(3)
4.4 Nonlinear Analysis of HRV of Patients With Cardiovascular Disease
200(1)
4.5 The Influence of Obesity on HRV
201(4)
5 Conclusion
205(1)
References
206(2)
Further Reading
208(3)
Chapter 8 Smart Information Technology for Universal Healthcare
211(16)
Ankur Dumka
1 Introduction
211(2)
2 Case Study
213(2)
3 Tools and Techniques Used
215(7)
3.1 Wireless Body Access Network
215(3)
3.2 Software Defined Networks
218(1)
3.3 Internet of Things
219(1)
3.4 Long-Range Low-Power Wireless Platform
220(2)
4 Proposed ICT-Based Architecture For Healthcare
222(2)
5 Results
224(1)
References
225(1)
Further Reading
226(1)
Chapter 9 Handling Uncertainty in IoT Design: An Approach of Statistical Machine Learning with Distributed Second-Order Optimization
227(18)
Soumya Banerjee
Hameed Al-Qaheri
Chintan Bhatt
1 Introduction
227(3)
1.1 Contribution of Proposed Model
229(1)
2 Uncertainty in IoT and CPS Design
230(3)
2.1 Role of Statistical Machine Learning in IoT Design
232(1)
3 Detection of Uncertainty in IoT Design and Distributed Optimization
233(2)
3.1 IoT and CPS With Changing Number of Objectives: Use Cases
233(2)
4 Validation With Second-Order Distributed Optimization: Results and Discussion
235(4)
4.1 KFC: Distributed Optimization for Optimal Point in IoT Design
237(1)
4.2 Hypothetical Comparison of Proposed Hybrid Algorithm
237(2)
5 Conclusion
239(1)
References
240(2)
Further Reading
242(3)
Chapter 10 A Reversible and Secure Electronic Patient Record Embedding Technique using Histogram Bin Shifting and RC6 Encryption
245(22)
Shabir A. Parah
Tabish Digoo
Gazanfar A. Hamdani
Asif A. Shah
Irfan Khan
Obaid Khan
Nazir A. Loan
Javaid A. Sheikh
1 Introduction
245(1)
2 Related Work
246(3)
3 Proposed Work
249(7)
3.1 Block Division
249(1)
3.2 RC6 Algorithm
250(2)
3.3 Embedding Procedure
252(4)
3.4 Extraction Procedure
256(1)
4 Experimental Results
256(4)
4.1 Imperceptibility Analysis
259(1)
5 A Brief Discussion of the Results
260(2)
6 Conclusion
262(1)
References
263(4)
Chapter 11 Secure and Reversible Data Hiding Scheme for Healthcare System Using Magic Rectangle and A New Interpolation Technique
267(40)
Shabir A. Parah
Aadil Bashir
Misbah Manzoor
Arifa Gulzar
Maria Firdous
Nazir A. Loan
Javaid A. Sheikh
1 Introduction
267(2)
2 Related Work
269(2)
3 Proposed Technique
271(6)
3.1 Proposed Interpolation Scheme
271(2)
3.2 Data Encryption
273(2)
3.3 Data Embedding
275(2)
3.4 Data Extraction Process
277(1)
4 Experiment Results
277(19)
4.1 Imperceptibility Analysis
277(5)
4.2 Fragility and Authentication Analysis
282(9)
4.3 Brief Discussion on Results
291(5)
5 Conclusion
296(11)
References 307(4)
Index 311
Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.

He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.

Amira S. Ashour is an Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt. She is a member in the Research and Development Unit, Faculty of Engineering, Tanta University, Egypt. She received the B.Eng. degree in Electrical Engineering from Faculty of Engineering, Tanta University, Egypt in 1997, M.Sc. in Image Processing in 2001 and Ph.D. in Smart Antenna in 2005 from Faculty of Engineering, Tanta University, Egypt. Ashour has been the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year from 2015. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. Her research interests are Smart antenna, Direction of arrival estimation, Targets tracking, Image processing, Medical imaging, Machine learning, Biomedical Systems, Pattern recognition, Image analysis, Computer vision, Computer-aided detection and diagnosis systems, Optimization, and Neutrosophic theory. She has 15 books and about 150 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng, Computer Systems degree and a PhD, Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 373 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals. Chintan Bhatt is an Assistant Professor of U & P U Patel Department of Computer Engineering at Charotar University of Science And Technology. His PhD is in Computer Science. He has done M.Tech. in Computer Engineering, Dharmsinh Desai University, 2009 - 2011, B.E. in Computer Engineering, Gujarat University (Charotar Institute of Technology), 2005 2009. His research interests include Data Mining, Software Engineering, Networking, Big Data, Internet of Things (IoT), Mobile Computing. He received an award on 2015, Paper Publication at International Conference Award and Faculty with Maximum Publication in CSIC Award during CSI Annual Convention, New Delhi. He had organized special sessions on Internet of Things (IoT), CSNT, Gwalior during 4-6 April, 2015 and on Internet of Things (IoT) and big data in IoT , ICTCS, at Udaipur during 14-16 November, 2014. He is an active reviewer in the Wireless Communications, IEEE and Internet of Things Journal, IEEE, as well as Mobile Networks and Applications, Springer. He has several publications in repute journals. He has edited 4 books in IGI Global and Springer and he is currently editing 2books under Elsevier.