Smart Healthcare and Machine Learning

• Autore: Chaurasia Mousmi Ajay
• Pubblicazione: Singapore : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (340 pages)
• Altri autori: BalajiPrasanalakshmi FreryAlejandro C
• Nota di contenuto: Intro -- About This Book -- Contents -- 1 Big Data Analytics for Big Medical Data-Tools Applications and Challenges -- Introduction -- Health Data Sources -- Big Data Analytics in Health Care -- Tools for Big Data Analytics -- Big Data Analytics Applications in Healthcare Domain -- Big Data Analytics Challenges in Health Care -- Conclusions -- References -- 2 AB-BiL: A Deep Learning Model to Analyze Depression Detection in Imbalanced Data -- Introduction -- Related Work -- Proposed Model -- AdaBoost -- Bi-LSTM Model -- Experimental Results -- Dataset Description -- Conclusion -- References -- 3 Synchronization Analysis of Complex-Valued Artificial Neural Networks with Distributed Delays in Medical Image Processing -- Introduction -- Problem Formulation and Preliminaries -- Notations -- Complex Algebra -- Problem Formulation -- Preliminaries -- Global Exponential Synchronization Analysis -- Numerical Example -- Conclusions -- References -- 4 Deep Q-Learning-Based Neural Network for Secure Data Transmission in Internet of Things (IoT) Healthcare Application -- Introduction -- AI Approaches for IoT in Healthcare -- Deep Q-Learning -- Literature Review -- System Design -- Data Transmission and Scheduling Using Deep Q-Learning -- Framework for Security Systems -- Result and Discussion -- Performance Evaluation Matrix -- Accuracy -- Sensitivity -- Specificity -- Time of Encryption -- Time of Decryption -- Conclusion -- References -- 5 Integrating Artificial Intelligence for Enhanced Tuberculosis Diagnosis and Management: A Comprehensive Analysis -- Introduction and Background -- Tuberculosis -- Tuberculosis Disease Detection -- Machine Learning Models -- Diagnosis -- Role of Machine Learning in TB Diagnosis -- Role of Deep Learning in TB Diagnosis -- Role of ANN in TB Diagnosis -- Conclusion -- References. ; 6 An Effective Cost-Sensitive Learning Approach for Detection of COVID-19 with Lung Diseases -- Introduction -- Related Work -- Result and Discussion -- Conclusion -- References -- 7 IoT in Healthcare: Applications, Benefits, Challenges, and Real-Time Use Cases -- Introduction -- Previous Research on the Topics -- Background -- Converging Information Technology in Healthcare -- An Innovative, Intelligent, and Smart Healthcare System -- The Components of a Smart Healthcare System Are as Follows -- Logical Architecture of IoT Healthcare -- A Review of the Proposed Model for Monitoring Goods Carrying Vehicles During COVID-19 [38] -- Automated Vehicle Monitoring System -- Locking Mechanism with Automatic Activation -- Automated Vehicle Monitoring System (AVMS): Design Possibilities -- Cutting-Edge Innovations Regarding Health 4.0 -- Internet-Based Patient Monitoring -- Apps for Mobile Phones that Are Connected to Health -- Real-Time Telemedicine -- Healthcare Tech Prospects in the Future -- Healthcare 4.0 -- The Healthcare 4.0 Revolution -- Future Scope -- Conclusion -- References -- 8 An ML Approach to Analyze Cyberthreats and Vulnerabilities in the Healthcare Ecosystem -- Introduction -- Cyberthreats and Vulnerabilities -- Cybersecurity in Healthcare -- Smart Healthcare Ecosystem -- Internet of Medical Things (IoMT) -- Literature Review -- Security of Blockchain and AI-Empowered Smart Healthcare -- Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses -- Cybersecurity for Industry 4.0 in the Current Literature -- Industry 4.0 Applications for Medical/Healthcare -- War, Health and Ecosystem: Generative Metaphors in Cybersecurity Governance -- Digital Forensics for Medical Internet of Things -- Artificial Intelligence-Based Internet of Medical Things (AI-IoMT) in Smart Cities -- Cybersecurity in Smart Hospitals -- System Design. ; Healthcare Ecosystem -- Logistic Regression (LR) -- Result and Discussion -- Performance Evaluation Matrix -- Conclusion -- References -- 9 Reliable and Efficient Healthcare System Using Artificial Intelligence -- Introduction -- Programs of Medical Informatics -- Dealing with Scientific Fields of Information -- Performing Routine Tasks -- Cure Design -- Digital Session -- Drug Advent -- Real-Time Applications of the Domains of AI -- Expert Systems -- Herbal Language Processing -- Neural Networks -- Robotics -- Fuzzy Good Judgment Structures -- Outlook of AI -- Drawbacks of Artificial Intelligence in Healthcare -- Conclusion -- Reference -- 10 Advancing Precision Medicine: An Exploration of Hybrid Deep Learning Approaches for Automated Human Brain Tissue Segmentation and Tumour Localization in MRI Imaging -- Introduction -- Related Works -- Literature Survey -- Result Analysis -- Conclusion -- References -- 11 O-RAN in Private Network for Digital Health Applications Using Twofish Encryption in the Internet of Things -- Introduction -- Twofish Encryption -- Healthcare System -- Artificial Intelligence-AI -- Machine Learning -- Supervised Learning -- Unsupervised Learning -- Deep Learning -- Literature Survey -- Study Population -- Digital Health -- Big Data Analytics -- System Design -- IoT Architecture -- Smart Sensing -- Wearable Sensors -- Twofish Encryption -- Result and Discussion -- Encryption -- Decryption Process -- Conclusion -- References -- 12 Mobile Nets: Prediction of Black Fungus Disease Through Image Classification -- Introduction -- Related Work -- Methodology -- Conclusion -- References -- 13 A Secured IoT Healthcare Architecture-Based Access Control System Using Deep Learning -- Introduction -- Health Monitoring -- Deep Learning in Healthcare -- IoT with Big Data -- Healthcare Access Control System. ; IoT Applications in the Healthcare Sector -- Obstacles in the Healthcare Industry with Secure IoT -- Platforms of IoT-Based Healthcare -- Literature Review -- System Design -- Artificial Neural Network (ANN) -- Mathematical Model for ANN -- Result and Discussion -- Performance Evaluation Matrix -- Conclusion -- References -- 14 IoT Paradigm for Healthcare System to Secure the Patients Real-Time Data -- Introduction -- Literature Review -- Methodology -- Discussion and Findings -- Proposed Approach for Medical IoT Sensors -- Conclusions -- References -- 15 Application of the Internet of Things in the Healthcare Field -- Introduction -- Methodology -- Application Design -- Hardware Architecture of the Designed App -- Software Architecture of the Designed App -- Results -- Conclusion -- References -- 16 A Predictive Diagnostic Model for Diabetes Using Machine Learning Technique -- Introduction -- Related Work -- Methodology -- Description of the Dataset -- The Machine Learning Algorithm Used -- Model Construction -- Performance Evaluation Metrics -- Result -- Conclusion -- References -- 17 A Novel Development of Medical Technology and AI for Intelligent Healthcare -- Introduction -- Real-Time Usage of Intelligent Healthcare -- AI in Healthcare -- Technical Innovations -- Literature Review -- System Design -- AI for Intelligent Healthcare -- Ant Colony Optimisation (ACO) -- Convolutional Neural Network (CNN) -- Result and Discussion -- Performance Evaluation Matrix -- Conclusion -- References -- 18 A Blockchain-Based Hybrid SVMLR Approach for IoT-Healthcare -- Introduction -- Blockchain-Based Applications in Healthcare -- Blockchain-Based Healthcare Management Applications -- Literature Review -- System Design -- Support Vector Machine (SVM) -- Logistic Regression (LR) -- Result and Discussion -- Performance Evaluation Matrix -- Conclusion -- References. ; 19 Non-Shannon Perspective on the IFS's Anomalous Viable One-To-One Communication Signal Detection Pattern with Discrete Weighted Distribution -- Introduction -- Intuitionistic Fuzzy Sets -- Our Claims -- References -- 20 Digital Imaging and Communication in Medicine (DICOM): Biomedical and Health Informatics: Imaging and Interoperability Using HL7 and DICOM -- Introduction -- PACS and RIS -- Components of PACS -- DICOM -- Contributions of DICOM in Improving Workflow Efficiency -- DICOM File Parts -- DICOM Information Management -- Security and Ethical Considerations for DICOM Images -- HL7: Health Level Seven -- HL7 Contributions -- HL7 Messaging Standards -- Interoperability Using HL7 Messaging Standards -- Integration Support Using HL7 Messaging Standards -- HL7 Versions and Their Applications -- FHIR: The Rising Star of Interoperability -- HL7 FIHR and Patient Care -- FIHR Resources -- HL7 FIHR Implementation -- Role of DICOM and HL7 Interconnection in Medical Imaging and Healthcare Diagnostics-A Case Study Approach -- Case Study-Radiscan -- Solution -- DICOM and HL7 Interconnection -- Radiology Workflow and Information Extraction from HL7 and DICOM -- Conclusion -- References -- 21 Algorithms with Physics Inspiration Used in Biomedical Imaging for a Better Future -- Introduction -- Conclusion -- References.
• Titolo autorizzato: Smart Healthcare and Machine Learning
• ISBN: 9789819733125; 9789819733118
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910874688903321
• Lo trovi qui: Univ. Federico II
• Serie: Advanced Technologies and Societal Change Series