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Produktbild: Medical Analytics for Clinical and Healthcare Applications

Medical Analytics for Clinical and Healthcare Applications

Aus der Reihe Machine Learning in Biomedical Science and Healthcare Informatics

Fr. 263.00

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.09.2025

Herausgeber

Divya Zindani + weitere

Verlag

Wiley

Seitenzahl

352

Maße (L/B/H)

15.8/23.8/2.6 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-1-394-30145-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.09.2025

Herausgeber

Verlag

Wiley

Seitenzahl

352

Maße (L/B/H)

15.8/23.8/2.6 cm

Gewicht

668 g

Sprache

Englisch

ISBN

978-1-394-30145-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Medical Analytics for Clinical and Healthcare Applications

  • Preface xv

    Part 1: Foundations of Medical Analytics 1

    1 Exploring Trends in Depression and Anxiety Using Machine and Deep Learning Models 3
    Garvit Jakar, Timothy George, Parvathi R., Pattabiraman V. and Xiaohui Yuan

    1.1 Introduction 4

    1.2 Exploratory Data Analysis 6

    1.3 Problem Statement and Motivation 7

    1.4 Literature Survey 8

    1.5 Data Visualization 9

    1.6 Overview of Dataset 10

    1.7 Methodology 13

    1.8 Modules 15

    1.9 Results and Discussion 26

    1.10 Conclusion 28

    Part 2: Disease Detection and Diagnosis 31

    2 An Innovative Framework for the Detection and Classification of Breast Cancer Disease Using Logistic Regression Compared with Back Propagation Neural Network 33
    K. Reema Sekhar and Ashley Thomas

    2.1 Introduction 34

    2.2 Materials and Methods 36

    2.3 Results 39

    2.4 Discussion 42

    2.5 Conclusion 45

    3 An Approach to Conduct the Diabetes Prediction Using AdaBoost Algorithm Compared with Decision Tree Classifier Algorithm 49
    P. Jaswanth Reddy and R. Thalapathi Rajasekaran

    3.1 Introduction 50

    3.2 Materials and Methods 53

    3.3 Results and Discussion 55

    3.4 Conclusion 61

    4 Efficient Net V2-Based Pneumonia Detection: A Comparative Study with Transfer Learning Models 65
    Suguna M., Shane V. Jose, Om Kumar C.U., Gunasekaran T. and Prakash D.

    4.1 Introduction 66

    4.2 Related Works 67

    4.3 Materials and Methods 71

    4.4 Results and Discussion 79

    4.5 Conclusion and Future Work 90

    5 A Histogram Equalized Median Filtered SIFT-EfficientNet Based on Deep Learning Approach for Lung Disease Detection 93
    Suguna M., Pujala Shree Lekha, Om Kumar C.U., Arunmozhi M. and Prakash D.

    5.1 Introduction 94

    5.2 Related Works 96

    5.3 Materials and Methods 98

    5.4 Performance Measure 112

    5.5 Results and Discussion 113

    5.6 Conclusion and Future Work 119

    Part 3: Predictive Analytics in Healthcare 125

    6 Comparing the Efficiency of ResNet-50 and Convolutional Neural Networks for Facial Mask Detection 127
    Shaik Khaleel Basha and K. Nattar Kannan

    6.1 Introduction 128

    6.2 Materials and Methods 131

    6.3 ResNet-50 Architecture 132

    6.4 Convolutional Neural Networks (CNN) 133

    6.5 Statistical Analysis 134

    6.6 Results and Discussion 135

    6.7 Conclusion 142

    7 Enhancing Accuracy in Predicting Knee Osteoarthritis Progression Using Kellgren-Lawrence Grade Compared with Deep Convolutional Neural Network 145
    Sai Srinivasa and Malarkodi K.

    7.1 Introduction 146

    7.2 Materials and Methods 149

    7.3 Results and Discussion 153

    7.4 Conclusion 158

    8 A Comparative Analysis of Support Vector Machine over K-Neighbors Classifier for Predicting Hospital Mortality with Improved Accuracy 161
    Prabhu Kumar Adi and C. Anitha

    8.1 Introduction 162

    8.2 Materials and Methods 166

    8.3 Results and Discussion 170

    8.4 Conclusion 175

    9 Asthma Prediction Using Vowel Inspiration: A Machine Learning Approach 179
    Sandhya Prasad, Anik Bhaumik, Suvidha Rupesh Kumar, Rama Parvathy L., Heshalini Rajagopal and Janani S.

    9.1 Introduction 180

    9.2 Literature Survey 182

    9.3 Motivation and Background 185

    9.4 Proposed Method 186

    9.5 Discussion 194

    9.6 Results 200

    9.7 Conclusion 202

    Part 4: Medical Data Analysis and Security 207

    10 Improvement of Accuracy in Prevention of Medical Images from Security Threats Using Novel Lasso Regression in Comparison with K-Means Classifier 209
    K. Raghul and M. Kalaiyarasi

    10.1 Introduction 210

    10.2 Materials and Methods 213

    10.3 Result 216

    10.4 Discussion 220

    10.5 Conclusion 221

    11 Renal Cancer Detection from Histopathological Images Using Deep Learning 225
    Akhil Kumar, R. Krithiga, S. Suseela, B. Swarna and T. Karthikeyan

    11.1 Introduction 226

    11.2 Materials and Methods 229

    11.3 Results and Discussions 237

    11.4 Conclusion and Future Work 240

    12 A Novel Method to Predicting Tumor in Fallopian Tube Using
    DenseNet Over Linear Regression with Enhanced Efficiency 243

    Harish C.M. and Terrance Frederick Fernandez

    12.1 Introduction 244

    12.2 Materials and Methods 246

    12.3 Results and Discussion 250

    12.4 Conclusion 257

    13 Protected Medical Images Against Security Threats Using Lasso Regression and K-Means Algorithms 261
    N. Sainath Reddy and S. Tamilselvan

    13.1 Introduction 261

    13.2 Materials and Methods 262

    13.3 K-Means Classifier 263

    13.4 Procedure for K-Means Classifier 263

    13.5 Lasso Regression 263

    13.6 Procedure for Lasso Regression 264

    13.7 Statistical Analysis 264

    13.8 Results 264

    13.9 Discussion 266

    13.10 Conclusion 267

    Part 5: Emerging Trends and Technologies 271

    14 Predicting the Factors Influencing Alcoholic Consumption of Teenagers Using an Optimized Random Forest Classifier in Comparison with Logistic Regression 273
    Devineni Giri and M. Gunasekaran

    14.1 Introduction 273

    14.2 Materials and Methods 275

    14.3 Random Forest Classifier 275

    14.4 Algorithm for Random Forest Classifier 276

    14.5 Logistic Regression Classifier 276

    14.6 Algorithm for Logistic Regression Classifier 276

    14.7 Results 277

    14.8 Discussion 279

    14.9 Conclusion 280

    15 Harnessing Food Waste Potential: Advancing Protein Sequence Motif Analysis with Novel Cluster Sequence Analyzer Machine Learning Model 283
    U. Vignesh, Geetha S. and Benson Edwin Raj

    15.1 Introduction 284

    15.2 Suffix Tree 289

    15.3 Clustering Algorithms in PPI 293

    15.4 Classification Agorithms in PPI 296

    15.5 CSA and PPI Interaction Results 298

    15.6 Conclusion 308

    16 "Hi-Tech People, Digitized HR- Are We Missing the Humane Link?"-Use of People Analytics as an Effective HRM Tool in a Selected Healthcare Sector 311
    Rana Bandyopadhyay and Aniruddha Banerjee

    16.1 Introduction 312

    16.2 Research Background 313

    16.3 Literature Review 313

    16.4 Research Gaps 315

    16.5 Research Methodology 315

    16.6 Objectives 315

    16.7 NH Success Story 315

    16.8 Analysis and Discussion 316

    16.9 Findings 321

    16.10 People Analytics and Humane Touch 325

    16.11 Conclusions 327

    References 327
    Index 329