Internet of things and personalized healthcare systems /
[Book]
Krishna P. Venkata, Sasikumar Gurumoorhthy, and Mohammad S. Obaidat.
Singapore :
Springer,
[2019]
1 online resource (139 pages)
SpringerBriefs in Applied Sciences and Technology Ser.
10 A Computational Approach to Predict Diabetic Retinopathy Through Data Analytics.
Intro; Contents; 1 Sensitivity Analysis of Micro-Mass Optical MEMS Sensor for Biomedical IoT Devices; 1.1 Introduction; 1.2 Modeling and Simulation; 1.3 Different Shapes of Cantilever; 1.4 Rectangular-Shaped Micro-Mass Optical MEMS Sensor; 1.5 Trapezoidal/Triangular-Shaped Micro-Mass Optical MEMS Sensor; 1.6 Step Profile-Shaped Micro-Mass Optical MEMS Sensor; 1.7 Results and Discussion; 1.8 Conclusion; References; 2 Enhancing the Performance of Decision Tree Using NSUM Technique for Diabetes Patients; 2.1 Introduction; 2.2 Related Work; 2.3 Mutual Information; 2.3.1 Symmetric Uncertainty.
2.3.2 Proposed Algorithm2.4 Experimental Result and Discussion; 2.5 Conclusion and Future Scope; References; 3 A Novel Framework for Healthcare Monitoring System Through Cyber-Physical System; 3.1 Introduction; 3.2 Related Work; 3.2.1 Wireless Body Area Network (WBAN) in Healthcare System; 3.2.2 Electronic Health Record (EHR) Assisted by Cloud; 3.2.3 Data Security in Healthcare Application; 3.3 Framework for Healthcare Application Through CPS; 3.4 Internet of Medical Things (IoMT); 3.5 Proposed Method; 3.6 Result and Discussion; 3.7 Conclusion; References.
4 An IoT Model to Improve Cognitive Skills of Student Learning Experience Using Neurosensors4.1 Introduction; 4.1.1 Needs or Requirements; 4.1.2 Why This Work?; 4.1.3 ThinkGear Measurements (MindSet Pro/TGEM); 4.2 Existing Methods; 4.3 Proposed Method; 4.4 Result and Discussion; 4.5 Conclusion; References; 5 AdaBoost with Feature Selection Using IoT to Bring the Paths for Somatic Mutations Evaluation in Cancer; 5.1 Introduction; 5.1.1 AdaBoost Technique; 5.1.2 Feature Selection Techniques; 5.1.3 Internet of Things (IoT); 5.1.4 Challenges in Sequencing; 5.2 Existing Models; 5.3 Methodology.
5.3.1 Redundancy and Relevancy Analysis Approach5.3.2 Feature Redundancy and Feature Relevancy; 5.3.3 Defining a Framework of AdaBoost Technique with Feature Selection; 5.3.4 Schematic Representation for the Proposed Algorithm; 5.3.5 Algorithm and Analysis; 5.3.6 IoT Wearables to Detect Cancer; 5.4 Conclusions; References; 6 A Fuzzy-Based Expert System to Diagnose Alzheimer's Disease; 6.1 Introduction; 6.2 Literature Survey; 6.3 Materials and Methods; 6.3.1 Dataset; 6.3.2 Proposed Methodology; 6.4 Experimental Results; 6.5 Conclusion; References.
7 Secured Architecture for Internet of Things-Enabled Personalized Healthcare Systems7.1 Introduction; 7.2 Related Work; 7.3 Proposed Architecture; 7.4 Conclusion; References; 8 Role of Imaging Modality in Premature Detection of Bosom Irregularity; 8.1 Introduction; 8.2 Mammography; 8.3 Thermography; 8.4 Result Analysis; 8.5 Conclusion; 8.6 Future Work; References; 9 Healthcare Application Development in Mobile and Cloud Environments; 9.1 Introduction; 9.2 Related Work; 9.3 Analysis of Health Diseases; 9.4 Proposed Application Overview; 9.5 Experimental Evaluation; 9.6 Conclusion; References.
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This book highlights the issues and challenges in personalised healthcare systems. The individual chapters address different aspects of such systems, including the novel Internet of Things (IoT) system architectures in healthcare and emerging e-health based IoT applications. Moreover, the book investigates the impact of cutting-edge innovations on the IoT.
Springer Nature
com.springer.onix.9789811308666
Internet of things and personalized healthcare systems.
9789811308659
Internet of things.
Medical care-- Technological innovations.
Personalized medicine.
Internet of things.
Medical care-- Technological innovations.
Personalized medicine.
POLITICAL SCIENCE-- Public Policy-- Social Security.
POLITICAL SCIENCE-- Public Policy-- Social Services & Welfare.