Produktbild: Artificial Intelligence-Based System Models in Healthcare

Artificial Intelligence-Based System Models in Healthcare

Fr. 333.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.10.2024

Herausgeber

A. Jose Anand + weitere

Verlag

Wiley

Seitenzahl

512

Gewicht

662 g

Sprache

Englisch

ISBN

978-1-394-24249-8

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

22.10.2024

Herausgeber

Verlag

Wiley

Seitenzahl

512

Gewicht

662 g

Sprache

Englisch

ISBN

978-1-394-24249-8

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern

Die Leseprobe wird geladen.
  • Produktbild: Artificial Intelligence-Based System Models in Healthcare
  • Preface xxi

    Part I: Introduction to Healthcare Systems 1

    1 Role of Technology in Healthcare Systems 3
    A. Hency Juliet and K. Kalaiselvi

    1.1 Introduction 4

    1.2 Transformation in Healthcare 7

    1.3 Technology Transformation in Healthcare Industry 14

    1.4 Patient Care Improvement Using Healthcare Technology 16

    1.5 Importance of Technology in Healthcare 18

    1.6 Technology Impact on Healthcare 19

    1.7 Innovation and Digital Transformation 21

    1.8 Diagnostics' Role in Combatting Life-Threatening Diseases 23

    1.9 Role of Medical Technology in Healthcare 25

    1.10 Conclusion 27

    2 Health Status Estimation based on Daily Life Activities 31
    Josephine Anitha A. and Geetanjali R.

    2.1 Introduction 32

    2.2 Intersection of Technology and Healthcare 34

    2.3 Unveiling the Technologies 38

    2.4 Machine Learning Marvels: Unravelling Health Insights From Daily Life Activities 39

    2.5 Data Collection and Processing in Daily Life Health Monitoring 41

    2.6 Ethical Considerations, Data Privacy, and Regulatory Compliance 44

    2.7 Potential Areas of Improvement 46

    2.8 Challenges and Opportunities 47

    2.9 Conclusion 49

    3 Decision Support System in Healthcare Monitoring 55
    V. Suganthi and K. Kalaiselvi

    3.1 Introduction 56

    3.2 Components of a Healthcare Monitoring System 65

    3.3 Role of Decision Support System 70

    3.4 Challenges in Implementing Decision Support Systems 72

    3.5 Future Trends and Innovations 74

    3.6 Conclusion 75

    4 Vision-Based Management System in Healthcare Applications 79
    K. Balasubramanian, Anu Tonk, Seema Bhakuni, S. Anita, Freddy Ajila and S. Sathish Kumar

    4.1 Introduction 80

    4.2 History 86

    4.3 Tear Testing and Ocular Surface Analysis in a Clinical Examination 86

    4.4 Other Ocular Surface Health-Related Clinical Examinations 89

    4.5 Management of ADDE 95

    4.6 Disease-Specific Therapy in ADDE 99

    4.7 ADDE With NK 101

    4.8 Unmet Needs and Future Directions 101

    4.9 Conclusion 102

    5 Semantic Framework in Healthcare Systems 107
    Pooja Dabhowale, Mukesh Yadav, Nidhi Tiwari, Ruchi Sharma, Jose Anand A. and Irshad Ahamad

    5.1 Introduction 108

    5.2 Background 109

    5.3 Internet of Things 111

    5.4 Research Methodology 115

    5.5 Theoretical Framework 117

    5.6 Data Analysis 120

    5.7 Conclusion 125

    Part II: AI-Based System Models in Healthcare Applications 131

    6 Predictive Analysis in Healthcare Systems 133
    J. Sathya and F. Mary Harin Fernandez

    6.1 Introduction 134

    6.2 Related Work 136

    6.3 Proposed System 142

    6.4 Provide Support Tools and Visualizations to Aid in the Decision-Making Process 148

    6.5 Conclusion 149

    7 Machine Learning in Healthcare System 153
    A. Hency Juliet and K. Sathya

    7.1 Introduction 154

    8 Deep Learning Applications in Healthcare Systems 179
    V. Sheeja Kumari and Renjith Balu

    8.1 Introduction 180

    8.2 Fundamentals of Deep Learning 182

    8.3 Deep Learning Architecture for Image Classification 194

    8.4 Conclusion 200

    9 Image Analysis for Health Prediction 205
    Pulla Sujarani and K. Kalaiselvi

    9.1 Introduction 206

    9.2 Overview 208

    9.3 Image Preprocessing 209

    9.4 Image Filtering 211

    9.5 Image Enhancement 213

    9.6 Image Segmentation 215

    9.7 Feature Extraction 219

    9.8 Classification 222

    9.9 Conclusion 226

    10 Machine Learning in Biomedical Text Processing 229
    Shibi Mathai and K. Kalaiselvi

    10.1 Introduction 230

    10.2 Fundamentals of ML for Text Processing 232

    10.3 NLP Techniques in Biomedicine 233

    10.4 NLP Techniques in Biomedicine 236

    10.5 Feature Engineering and Selection in Biomedical Text 238

    10.6 Applications of ML in Biomedical Text Mining 240

    10.7 Evaluation Metrics and Model Validation 243

    10.8 Ethical Considerations and Data Privacy 245

    10.9 Future Directions and Challenges 246

    10.10 Conclusion 247

    11 Decision Making Biomedical Support System 253
    V. Sheeja Kumari, J. Vijila and Renjith Balu

    11.1 Introduction 254

    11.2 System Architecture and Components 258

    11.3 Machine Learning Algorithms 268

    11.4 Expert Systems 269

    11.5 Statistical Analysis Tools 270

    11.6 User Interface 272

    11.7 Interactivity for Healthcare Professionals 274

    11.8 User-Friendly Design 275

    11.9 Summary 277

    Part III: Modernization and Future -- Healthcare Applications 281

    12 Medical Imaging and Diagnostics with Machine Learning 283
    M. Sowmiya, D. Bhanu, K. Shruthi, Punitha Jilt, B. Beaula Pinky and A. Yasmine Begum

    12.1 Introduction 284

    12.2 Establishing a Smart Sensor Network With the Help of AI 285

    12.3 Impact of Nanotechnology and IoMT in Healthcare 292

    12.4 Artificial Intelligence's Impact on the Surgery 297

    12.5 The Importance of Artificial Intelligence in Treating Diabetes and Cancer 300

    12.6 Challenges and Future Scope 304

    12.7 Conclusions 305

    13 Predicting Ventilation Needs in Intensive Care Unit 311
    Yashini Priyankha S., S. Sumathi, T. Mangavarkarasi, Jose Anand A. and Mithileysh Sathiyanarayanan

    13.1 Introduction 312

    13.2 AI-Based Predictive Models for Healthcare Ventilation Systems 313

    13.3 AI Based Ventilator Weaning Predicting Unit 319

    13.4 Predictive Applications of AI in Healthcare 321

    13.5 AI Impacts on Ventilation Requirements 323

    13.6 ICU and Healthcare Future With AI 324

    13.7 Conclusion 325

    14 Modernized Health Record Maintenance 329
    K. Balasubadra, Franklin Baltodano, Indira Pineda, S. Mayakannan, Eduardo Hernández and Navin M. George

    14.1 Introduction 330

    14.2 Literature Survey 335

    14.3 Materials and Methods 336

    14.4 Having a Proper Strategy 345

    14.5 A Common Database to be Maintained Like a Repository 345

    14.6 The Database Must Have Genuine Data 345

    14.7 Case Study and Applications 345

    14.8 Conclusion 357

    15 Natural Language Processing in Medical Applications 361
    V. Prasanna Srinivasan, Evelyn Rosero, P. Sengottuvelan, Abhinav Singhal, Chandraketu Singh and S. Mayakannan

    15.1 Introduction 362

    15.2 Related Studies on Medical Systems - Use of Machine Learning 363

    15.3 Health Data Formats in Medical Systems 365

    15.4 Prototype of Algorithms and Data Conversion 367

    15.5 Results and Discussion 371

    15.6 Conclusions 384

    16 Chat Bots for Medical Enquiries 389
    K. Saravanan, Indira Pineda, Franklin Baltodano, Krunal Vishavadia, Vanessa Valverde and Jose Anand A.

    16.1 Introduction 390

    16.2 Artificial Intelligence - Chatbot: Components of Architecture 398

    16.3 Artificial Intelligence - Chatbot: Models for Generating a Response 400

    16.4 AI Chatbots: Methods and Technologies 402

    16.5 A Development of Conversational Agents: State-of-the-Art Chatbots 406

    16.6 AI Chatbots: Customer-Based Services 414

    16.7 AI-Chatbots: Public Administration-Based Services 417

    16.8 Chatbot Performance Evaluation 419

    16.9 Conclusion 421

    17 Secured Health Insurance Management 425
    A. Ravisankar, P. Manikandan, Iskandar Muda, Shrinivas V. Kulkarni, Rolando Marcel Torres Castillo and Jose Anand A.

    17.1 Introduction 426

    17.2 Methods 431

    17.3 Results 436

    17.4 Discussion 440

    17.5 Conclusion 445

    18 Future of Healthcare Applications 449
    Vettrivel Arul, Hitendra Kumar Lautre, T. Priya, Satish Kumar Verma, Freddy Ajila and Ramu Samineni

    18.1 Introduction 450

    18.2 A History of Blockchain Technology (1991 - 2021) 454

    18.3 Motivations 457

    18.4 Topmost Healthcare Projects in Blockchain Technology Based on Market Capital 459

    18.5 Healthcare Applications for Blockchain Technology 463

    18.6 Research Challenges and Future Direction 476

    18.7 Conclusion 479

    References 480

    Index 483