Applied Smart Health Care Informatics

4 Chapter 5Figure 5.1 Flowchart of chapter topics.Figure 5.2 Tools or methods for multi‐omics data analysis.

5 Chapter 6Figure 6.1 Super learner concept diagram (Kabir and Ludwig, 2019).Figure 6.2 Scatter plot of the five rules for breast cancer patients in the ...Figure 6.3 Scatter plot of five rules for individuals with breast cancer fro...Figure 6.4 Scatter plot of 23 rules for breast cancer patients in the non‐Hi...

6 Chapter 7Figure 7.1 Block diagram of the proposed method for the automatic identifica...Figure 7.2 An illustration of two class rough hypercuboids, considering the ...Figure 7.3 Comparative performance analysis of the proposed method and its v...Figure 7.4 Comparative performance analysis between the proposed method and ...Figure 7.5 Comparative performance analysis between the proposed method and ...Figure 7.6 Comparative performance analysis of the proposed and existing app...

7 Chapter 8Figure 8.1 Architecture of a simple neural network.Figure 8.2 Architecture of a convoluted neural network model.Figure 8.3 Performance of implemented networks with varying optimizers.Figure 8.4 Accuracy obtained by optimizers in a convolutional neural network...Figure 8.5 Number of epochs required for training by CNN optimizers with ear...

8 Chapter 9Figure 9.1 Anatomy of the human brain.Figure 9.2 MRI of a brain tumor.Figure 9.3 Support vector machine.Figure 9.4 Artificial neurons.Figure 9.5 Back‐propagation neural network.Figure 9.6 Random forest classifier.Figure 9.7 Flow chart of the proposed method.Figure 9.8 Original and resulting images with the bounding box.Figure 9.9 Splitting the whole image into LHS and RHS along the middle sagit...Figure 9.10 Stratified k‐fold cross validation.Figure 9.11 Structure of a confusion matrix.Figure 9.12 Accuracy of proposed and existing methods.

1 Cover Page

2 Table of Contents

3 Title Page Applied Smart Health Care Informatics A Computational Intelligence Perspective Edited by Sourav De Cooch Behar Govt. Engineering College, Cooch Behar, West Bengal, India Rik Das Xavier Institute of Social Service, Ranchi, Bihar, India Siddhartha Bhattacharyya CHRIST (Deemed to be University), Bengaluru, India Ujjwal Maulik Jadavpur University, Kolkata, West Bengal, India

4 Copyright

5 Dedication

6 Begin Reading

7 Index

8 Wiley End User License Agreement

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The Intelligent Signal and Data Processing (ISDP) book series is aimed at fostering the field of signal and data processing, which encompasses the theory and practice of algorithms and hardware that convert signals produced by artificial or natural means into a form useful for a specific purpose. The signals might be speech, audio, images, video, sensor data, telemetry, electrocardiograms, or seismic data, among others. The possible application areas include transmission, display, storage, interpretation, classification, segmentation, or diagnosis. The primary objective of the ISDP book series is to evolve future‐generation scalable intelligent systems for faithful analysis of signals and data. ISDP is mainly intended to enrich the scholarly discourse on intelligent signal and image processing in different incarnations. ISDP will benefit a wide range of learners, including students, researchers, and practitioners. The student community can use the volumes in the series as reference texts to advance their knowledge base. In addition, the monographs will also come in handy to the aspiring researcher because of the valuable contributions both have made in this field. Moreover, both faculty members and data practitioners are likely to grasp depth of the relevant knowledge base from these volumes.

The series coverage will contain, not exclusively, the following:

1 Intelligent signal processingAdaptive filteringLearning algorithms for neural networksHybrid soft‐computing techniquesSpectrum estimation and modeling

2 Image processingImage thresholdingImage restorationImage compressionImage segmentationImage quality evaluationComputer vision and medical imagingImage miningPattern recognitionRemote sensing imageryUnderwater image analysisGesture analysisHuman mind analysisMultidimensional image analysis

3 Speech processingModelingCompressionSpeech recognition and analysis

4 Video processingVideo compressionAnalysis and processing3D video compressionTarget trackingVideo surveillanceAutomated and distributed crowd analyticsStereo‐to‐auto stereoscopic 3D video conversionVirtual and augmented reality

5 Data analysisIntelligent data acquisitionData miningExploratory data analysisModeling and algorithmsBig data analyticsBusiness intelligenceSmart cities and smart buildingsMultiway data analysisPredictive analyticsIntelligent systems

Edited by

Sourav De

Cooch Behar Govt. Engineering College, Cooch Behar, West Bengal, India

Rik Das

Xavier Institute of Social Service, Ranchi, Bihar, India