Advanced Healthcare Systems

12 Chapter 13Figure 13.1 Drug development in ML.Figure 13.2 Machine learning in medicinal services.Figure 13.3 ML algorithms for healthcare analytics.Figure 13.4 Team-based consideration effect and ROI.Figure 13.5 Financial impact of clinical quality improvement.

13 Chapter 14Figure 14.1 Training data set is categorized in A or B based on some feature X.Figure 14.2 Showing arrival of new data (green colored dot) for making hypothesi...Figure 14.3 Pre-labeled data of training data set.Figure 14.4 Decision boundary separating data.Figure 14.5 New data D2 is shown with green colored dot.Figure 14.6 The different parts of brain tumor on the basis of T1 and T2 MRIs [1...Figure 14.7 Flowchart representing steps in SWA [19].Figure 14.8 Coarsening of the pixel representation of the portion of MR image.

14 Chapter 15Figure 15.1 Ratio of number of males and females with type 2 diabetes.Figure 15.2 Number of obese and non-obese males and females with type 2 diabetes...Figure 15.3 Ratio of males and females having polyuria and suffering from type 2...Figure 15.4 Ranking of attributes.Figure 15.5 Correlation matrix.Figure 15.6 Covariance matrix.Figure 15.7 Machine learning framework for identification of diabetic.Figure 15.8 Accuracy of deep learning-based neural network without dimensionalit...Figure 15.9 Accuracy of deep learning–based neural network with dimensionality r...

15 Chapter 16Figure 16.1 Dataset of without mask [2].Figure 16.2 Dataset of with mask [2].

16 Chapter 17Figure 17.1 SDN architecture.Figure 17.2 NFV architecture.Figure 17.3 Ring sensor.Figure 17.4 ECG sensor.Figure 17.5 GSR sensor.Figure 17.6 Graphene vapor sensor.Figure 17.7 Health patch sensor.Figure 17.8 Oximeter sensor.Figure 17.9 Optical biosensor.Figure 17.10 Respiration sensor.Figure 17.11 A schematic view of software-defined Internet of Things.Figure 17.12 Overview of different aspects of SDN-based IoT networks.Figure 17.13 Architecture of SDN-IoT for healthcare system.

1 Chapter 2 Table 2.1 Security and privacy mechanism prosed in some papers.

2 Chapter 6Table 6.1 Cluster distribution.Table 6.2 Numbers of majority sample in each cluster.

3 Chapter 9Table 9.1 Test case for monitoring the soldiers’ health.

4 Chapter 10Table 10.1 Confusion matrix.

5 Chapter 11Table 11.1 Feature contrast between IoT and conventional networks.Table 11.2 Characteristics of various enabling protocols and technologies.Table 11.3 CloudIoT application areas.Table 11.4 Summary of CloudIoT threats and vulnerabilities.Table 11.5 Overview of proposed security counter measures.Table 11.6 Node energy drainage factors and solutions.

6 Chapter 12Table 12.1 Defined epileptic states in transient EEG signals.Table 12.2 Initially defined epileptic states.

7 Chapter 15Table 15.1 Description of the dataset.Table 15.2 Weights of features with information gain measure.Table 15.3 Performance parameters of deep learning-based model without dimension...Table 15.4 Performance parameters of deep learning-based model with dimensionali...

8 Chapter 16Table 16.1 Classification report using CNN [4].Table 16.2 Classification report using SSDMNV2 [3].Table 16.3 A comparison of various models’ accuracy [3].Table 16.4 A comparison of the various models’ F1 score [3].Table 16.5 Comparative analysis between different machine learning algorithms [2...

1 Cover

2 Table of Contents

3 Title Page

4 Copyright

5 Preface

6 Begin Reading

7 Index

8 End User License Agreement

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