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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems
| A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems |
| Autore | Kumar Pardeep |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (462 pages) |
| Altri autori (Persone) |
ObaidAhmed Jabbar
CengizKorhan KhannaAshish BalasValentina Emilia |
| Collana | Intelligent Systems Reference Library |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-76653-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497108203321 |
Kumar Pardeep
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Healthcare Industry Assessment
| Healthcare Industry Assessment |
| Autore | Kumar Pardeep |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (371 pages) |
| Altri autori (Persone) |
SinghPrabhishek
DiwakarManoj GargDeepak |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures Series |
| ISBN |
9783031654343
9783031654336 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Introduction to Security Risk Assessment in Medical and Healthcare Industry -- 1 Introduction -- 1.1 Security Risk Assessment -- 1.2 Mitigation Strategies -- 1.3 Motivation of Work -- 1.4 Contribution of Work -- 2 Literature Survey -- 3 Comparative Analysis Based on Its Merits and Demerits -- 4 Result Analysis -- 5 Real Life Practical Applications -- 6 Conclusion -- 7 Future Scope -- References -- Identifying the Risk in Lie Detection for Assessing Guilty and Innocent Subjects for Healthcare Applications -- 1 Introduction -- 2 Materials and Methods -- 2.1 Major Contributions -- 3 Results and Discussion -- 4 Conclusion -- References -- Building Trust: The Foundations of Reliability in Healthcare -- 1 Introduction -- 1.1 High-Reliability Healthcare Model -- 2 Reliability in Health Care Industries Key Concept -- 2.1 Patient Safety and Adverse Events -- 2.2 Quality Improvement Initiatives -- 2.3 Technology and Reliability -- 2.4 Human Factors and Reliability -- 2.5 Interaction and Cooperation -- 3 Real-Life Applications of Machine Learning Algorithms in Healthcare Include -- 4 Future Trends and Challenges -- 4.1 Digital Health Integration and Aging Infrastructure -- 4.2 The Fields of Machine Learning (ML) and Artificial Intelligence (AI) -- 4.3 Interoperability and Standardisation and Regulatory Landscape Changes -- 5 Conclusion -- References -- Predictive Modeling to Identify Syndrome Patterns -- 1 Introduction -- 2 Literature Review -- 2.1 Contributions -- 3 Methodology -- 3.1 Dataset Details -- 3.2 Libraries Used -- 3.3 Preparing Data -- 3.4 Machine Learning Models -- 4 Results -- 5 Conclusion and Future Scope -- References -- Advancing Healthcare Security: Exploring Applications, Challenges, and Future Research Paths in Healthcare 5.0 -- 1 Introduction -- 2 Contextual Findings and Research Gap.
2.1 Integration Challenges -- 2.2 Human-Machine Interaction -- 2.3 Data Security and Privacy -- 2.4 Sustainability and Environmental Impact -- 2.5 Ethical and Societal Implications -- 2.6 Industrial Evolution Journey -- 3 Why Industry 5.0 -- 3.1 The Fundamental Ideas Behind Industry 4.0 and Industry 5.0 -- 4 Industry 5.0 in Healthcare Systems -- 4.1 Healthcare 5.0 Applications -- 5 Healthcare 5.0 Security -- 5.1 Healthcare 5.0 Security Requirements -- 5.2 Threat Model of Healthcare 5.0 -- 6 Security Measures for Healthcare 4.0 and 5.0 -- 6.1 Existing Healthcare 4.0 Security Schemes -- 6.2 Existing Healthcare 5.0 Security Schemes -- 7 Healthcare 5.0 Challenges -- 7.1 Handling Massive Data Volumes -- 7.2 Lack of Standards -- 7.3 Usage of Antiquated Infrastructure -- 7.4 Threats to Data Security -- 7.5 Data Unification -- 7.6 Regulatory Difficulties -- 7.7 Cost Factor -- 7.8 Scaling Issue and Trust Factor -- 8 Future Research on Healthcare 5.0 -- 8.1 Unbreakable Security -- 8.2 Effective Security Plans -- 8.3 Scalability Problems -- 8.4 Healthcare 5.0 Systems' Heterogeneity -- 8.5 Cross-platform Interoperability in Healthcare 5.0 -- 8.6 Absence of Regulatory and Legal Frameworks -- 8.7 E-Health Policies -- 8.8 Insufficient Funding -- 9 Conclusion -- References -- The Impact of Machine Learning on Chronic Kidney Disease: Analysis and Insights -- 1 Introduction -- 2 Literature Review -- 2.1 Contributions -- 2.2 Novelty -- 3 Exploring the Dataset: Unveiling Insights and Characteristics -- 4 Data Preprocessing -- 4.1 Initial Setup -- 4.2 Loading Data -- 4.3 Data Visualization -- 4.4 Handling Null Values and Imputation Strategies in Data Preprocessing -- 4.5 Addressing Label Imbalance in Data Preprocessing -- 5 Statistical Analysis -- 5.1 Exploring Relationships with Pair Plots -- 5.2 Distribution Analysis of Numerical Columns -- 5.3 Outlier Detection. 5.4 Encoding Categorical Data -- 5.5 Saving Preprocessed Data -- 6 Correlation Among Variables -- 6.1 Visualizing Correlations -- 7 Addressing Label Imbalance and Data Scaling -- 7.1 Segregating Independent and Dependent Variables -- 7.2 Addressing Label Imbalance -- 7.3 Feature Extraction and Dimensionality Reduction -- 8 Dimensionality Reduction and Data Splitting in Preprocessing -- 8.1 Implementing Dimensionality Reduction -- 8.2 Preparing for Model Training: Splitting the Data -- 8.3 Transitioning to Neural Network Modeling -- 9 Creating a Neural Network Model for Binary Classification -- 9.1 Importing Necessary Libraries -- 9.2 Model Architecture -- 9.3 Model Training and Validation History Summary -- 10 Enhancing Model Evaluation: Accuracy, Loss, and Advanced Metrics -- 10.1 Utilizing ROC and Precision-Recall Curves for Model Evaluation -- 10.2 Precision-Recall Curve Analysis -- 10.3 Plotting Model History -- 11 Conclusion -- References -- Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient's Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions -- 1 Introduction and Background -- 1.1 Relevance/Significance of Study -- 1.2 Contribution and Novelty of This Work -- 1.3 Literature Review -- 1.4 Objectives of the Chapter -- 1.5 Structure/Flow of the Chapter -- 2 Machine-Deep Learning in Healthcare -- 2.1 Application of Machine-Deep Learning in Smart Healthcare Delivery -- 3 Privacy in Smart Healthcare: Current Landscape -- 3.1 Confidentiality of Patient Information -- 3.2 Regulatory Framework -- 4 Ethical and Legal Challenges in Smart Healthcare -- 4.1 Challenges in Smart Healthcare -- 5 Privacy Deliberations for Futuristic Healthcare -- 6 Conclusion and Future Scope -- References. Legal and Regulatory Consideration in Healthcare Industry of India -- 1 Introduction -- 2 Key Regulatory Bodies in the Healthcare Sector of India -- 2.1 Central Drugs Standard Control Organization (CDSCO) -- 2.2 Medical Council of India -- 2.3 Pharmacy Council of India (PCI) -- 2.4 Indian Council of Medical Research (ICMR) -- 2.5 National Pharmaceutical Pricing Authority (NPPA) -- 2.6 National Accreditation Board for Hospitals and Healthcare Providers (NABH) -- 2.7 Ministry of Health and Family Welfare (MoHFW) -- 2.8 Over View of the Regulatory Bodies -- 3 Medical Devices -- 4 Health Laws of India -- 4.1 Clinical Establishments (Registration and Regulation) Act, 2010 -- 4.2 Drugs and Cosmetics Act, 1940 -- 4.3 Medical Termination of Pregnancy Act, 1971 -- 4.4 Clinical Trials Registry-India (CTRI) -- 4.5 National Health Policy (NHP), 2017 -- 4.6 Telemedicine Practice Guidelines, 2020 -- 4.7 Consumer Protection Act, 2019 (COPRA) -- 5 Conclusion -- References -- Smart Health Revolution: Exploring Artificial Intelligence of Internet of Medical Things -- 1 Introduction -- 1.1 Chapter Contribution -- 1.2 Chapter Organization -- 2 Enabling Technologies and Architecture of AIoMTs -- 3 Applications of Artificial Intelligence of Internet of Medical Things -- 3.1 Candidate Identification for Clinical Trials -- 3.2 Exoskeletons -- 3.3 Surgical Robots -- 3.4 Medication Errors -- 3.5 Artificial Organs -- 3.6 Healthcare Automation Robots -- 3.7 Personalized Medicine -- 3.8 Automatic Diseases Identification -- 3.9 Prosthetics -- 4 Secure AIoMT Framework for Sustainable Healthcare -- 5 Cybersecurity Aspects of AIoMTs -- 6 AIoMT: Attacks, Threats, and Countermeasures for Smart Healthcare -- 7 Future Research Directions -- 7.1 Advanced Artificial Intelligence Methods -- 7.2 Explainability -- 7.3 Illness Descriptive Classification. 7.4 Dependency on Clinical Parameter Reduction -- 7.5 Intelligent Things and Medical Big Data Analytics -- 7.6 Embedded and Edge Artificial Intelligence -- 8 Ethical Consideration, Lessons Learned, Persisting Challenges in Using Artificial Intelligence and IoT in Healthcare -- 8.1 Ethical Consideration in Artificial Intelligence and IoT in Healthcare -- 8.2 Lessons Learned -- 8.3 Persisting Challenges, Limitations, and Open Issues -- 8.4 Conclusion -- References -- IoTs-Based Wearable Health Monitoring Through Wireless Body Area Networks -- 1 Introduction -- 1.1 Healthcare Architecture Using IoT -- 1.2 Wireless Technology -- 2 Wireless Body Area Network -- 2.1 Comparison Between WBAN and Other Networks -- 2.2 Requirement of WBAN -- 2.3 Challenges of WBAN -- 2.4 Architecture of WBAN -- 3 IoT in Healthcare -- 3.1 IoT Architecture -- 3.2 Wearable Devices -- 3.3 Implantable Devices -- 3.4 IoT Application for Managing the Medical -- 4 Smart Layout of Hospital -- 5 Future Scope -- 6 Conclusion -- References -- Revolutionizing Healthcare: Telemedicine and Remote Diagnostics in the Era of Digital Health -- 1 Introduction -- 1.1 Evolution of Healthcare Technology -- 1.2 Telemedicine and Remote Diagnostics -- 1.3 AI in Telemedicine and Remote Diagnostics -- 1.4 Overview of the Chapter -- 2 Literature Survey -- 2.1 Technological Advancements -- 2.2 Clinical Applications -- 2.3 Remote Monitoring and Disease Management -- 2.4 Telemedicine in Rural and Underserved Areas -- 2.5 Regulatory and Policy Considerations -- 2.6 Patient Perspectives and Acceptance -- 2.7 Future Directions and Challenges -- 3 Challenges in Use of Telemedicine and Remote Diagnostics -- 3.1 Digital Divide -- 3.2 Technological Barriers -- 3.3 Regulatory and Legal Uncertainty -- 3.4 Privacy and Security Concerns -- 3.5 Quality of Care and Clinical Outcomes. 3.6 Provider Resistance and Training Needs. |
| Record Nr. | UNINA-9910878986803321 |
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Kumar Pardeep
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||