Info
AI in Disease Detection : Advancements and Applications
| AI in Disease Detection : Advancements and Applications |
| Autore | Singh Rajesh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 616.07/50285 |
| Altri autori (Persone) |
GehlotAnita
RathourNavjot Vaseem AkramShaik |
| Soggetto topico |
Diagnosis - Data processing
Artificial intelligence - Medical applications Diagnosis - Technological innovations |
| ISBN |
9781394278695
1394278691 9781394278671 1394278675 9781394278688 1394278683 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- About the Editors -- List of Contributors -- Preface -- Acknowledgments -- Chapter 1 Introduction to AI in Disease Detection - An Overview of the Use of AI in Detecting Diseases, Including the Benefits and Limitations of the Technology -- Introduction -- Objectives -- Literature Review -- Benefits of AI in Disease Detection -- Limitations of AI in Disease Detection -- AI Techniques in Disease Detection -- Supervised Learning for Disease Diagnosis -- Unsupervised Learning in Healthcare -- Deep Learning and Convolutional Neural Networks (CNNs) -- AI in Medical Imaging and Radiology -- Applications of AI in Disease Detection -- Oncology: Cancer Detection and Diagnosis -- Cardiology: Predicting Cardiovascular Diseases -- Neurology: Early Detection of Neurological Disorders -- Infectious Diseases: AI in Epidemic and Pandemic Management -- Methodology -- Data Collection and Preprocessing -- Multimodal Fusion Techniques -- Transfer Learning for Disease Detection -- Explainable AI (XAI) Techniques -- Federated Learning Framework -- Clinical Validation and Adoption Studies -- Continuous Monitoring and Early Warning Systems -- Results and Analysis -- Analysis -- Performance Evaluation for the Techniques of Multimodal Fusion -- Assessment of Transfer Learning for Disease Detection -- Effectiveness of Explainable AI Techniques -- Privacy-Preserving Federated Learning-based Collaborative Model Training -- Performance of Continuous Monitoring and Early Warning Systems -- Case Study: AI in Disease Detection -- Development and Training -- Testing and Validation -- Deployment and Integration -- Conclusion -- Future Scope -- References -- Chapter 2 Explanation of Machine Learning Algorithms Used in Disease Detection, Such as Decision Trees and Neural Networks -- Introduction.
The Silent Guardian: Machine Learning's Stealthy Rise in Disease Detection -- Beyond the Usual Suspects: A Look at Emerging Innovations -- The Ethical Symphony: Balancing Innovation with Human Oversight -- Objectives -- Unveiling Hidden Patterns - Feature Engineering -- Innovation Spotlight: Active Feature Acquisition (AFA) -- Limitations and Advantages of ML Algorithms for Disease Detection -- Advantages of Machine Learning Algorithms for Disease Detection -- Limitations of Machine Learning Algorithms for Disease Detection -- Literature Review -- The Familiar Melodies: Established ML Techniques and Their Strengths -- The Rise of the Deep Learning Chorus: Innovation on the Horizon -- Breaking New Ground: Unveiling Unique Innovations and Addressing Challenges -- The Well-Honed Orchestra: Established Techniques Take Center Stage -- Beyond the Familiar Melodies: Deep Learning Takes the Stage -- Collaboration and Innovation Lead the Way -- Methodology -- Conventional ML Methods for Disease Detection -- Beyond the Established Melodies: Innovation Takes Center Stage -- Results and Analysis -- The Familiar Melody: Established Methodologies -- The Disruptive Score: Unveiling New Innovations -- The Human Touch: Ethical Considerations and Explainability -- Conclusions and Future Scope -- The Evolving Maestro: AI Orchestration Beyond Established Methods -- Human-Machine Duet: Collaboration for a Healthier Future -- References -- Chapter 3 Natural Language Processing (NLP) in Disease Detection - A Discussion of How NLP Techniques Can Be Used to Analyze and Classify Medical Text Data for Disease Diagnosis -- Introduction -- Objectives -- Early Infection Location through Phonetic Fingerprints -- Estimation Examination for All-encompassing Healthcare -- Social Media Reconnaissance for Disease Outbreaks. Custom-fitted Medication through Personalized Content Investigation -- Precise Medication with Clinical Trial Content Mining -- Breaking Down Language Boundaries for Worldwide Wellbeing -- Human-Machine Collaboration for Making Strides -- Advantages and Limitations of Natural Language Processing in Disease Detection -- Advantages of NLP in Disease Detection -- Limitations of NLP in Disease Detection -- Literature Review -- From Content to Determination: Revealing Etymological Fingerprints -- Past Watchwords: Capturing the Subtlety of Free-Text Information -- Control of Expansive Language Models: A New Frontier -- Breaking Down Language Obstructions for Worldwide -- Toward a Collaborative Future: Human-Machine Association -- Logical AI -- Past Content: Multimodal Infection Discovery with NLP and Imaging Information -- Methodology -- Information Procurement and Preprocessing: Building the Establishment -- Content Explanation: Labeling the Story -- Feature Designing: Extricating Important Signals -- Show Determination and Preparing: Choosing the Right Tool for the Work -- Demonstrate Assessment and Refinement: Guaranteeing Exactness and Belief -- Integration and Arrangement: Putting NLP to Work -- Results and Analysis -- Current Achievements: A Glimpse into the Possible -- Unveiling New Frontiers: Innovative Approaches for the Future -- Challenges and Considerations: Navigating the Road Ahead -- Case Study of NLP in Disease Detection -- Conclusions and Future Scope -- Charting the Course: Unveiling New Frontiers in NLP -- A Collaborative Future: Working Together for a Healthier Tomorrow -- Enhancing EHR Analysis -- Personalized Pharmaceutical -- Integration with AI and Machine Learning -- Expansion into New Medical Fields -- Upgrading Persistent Engagement -- Ethical and Protection Contemplations -- References. Chapter 4 Computer Vision for Disease Detection - An Overview of How Computer Vision Techniques Can Be Used to Detect Diseases in Medical Images, Such as X-rays and MRIs -- Introduction -- Objectives -- Improved Early Disease Detection -- Improve Diagnostic Accuracy -- Developing Transfer Learning Models for Medical Imaging -- Explainability in Artificial Intelligence Applied to Medical Imaging -- Building Computer-Vision-Based Real-Time Disease Diagnostics Systems -- Integration of Multimodal Data for Comprehensive Diagnosis -- Literature Review -- Improving Early Detection and Diagnostic Accuracy -- Switch Studying and Artificial Records Generation -- Explainable AI and Real-Time Detection Structures -- Multimodal Statistics Integration -- Innovations in Precise Disease Detection -- Advanced Deep Learning Strategies -- Statistics Augmentation and Synthesis -- Explainable AI for Trust and Transparency -- Real-Time Diagnostic Systems -- Integration of Multimodal Insights -- Disease-specific Innovations -- Benefits of AI in Disease Detection -- Limitations of AI in Disease Detection -- Methodology -- Records Series and Preprocessing -- Version Improvement -- Real-Time Processing and Deployment -- Multimodal Records Integration -- Continuous Mastering and Development -- Results and Analysis -- Diagnostic Accuracy -- Efficiency and Pace -- Explainability and Agreement -- Multimodal Statistics Integration -- Key Improvements -- Continuous Learning and Variation -- Medical Integration and Impact -- Key Improvements -- Conclusion and Future Scope -- References -- Chapter 5 Deep Learning for Disease Detection - A Deep Dive into Deep Learning Techniques Such as Convolutional Neural Networks (CNNs) and Their Use in Disease Detection -- Introduction -- Objectives -- Literature Review -- Integration of Multimodal Information. Switch Learning for Better Model Training -- Explainable AI Techniques for CNNs -- Records Augmentation and Synthesis Techniques -- Fundamentals of Deep Learning -- CNNs in Medical Imaging -- Image Processing for Disease Detection -- Methodology -- Convolutional Neural Networks: A Top-level View -- Multiscale Convolutional Layers -- Attention Mechanisms -- Transfer Learning with Pretrained Models -- Generative Adversarial Networks (GANs) for Statistics Augmentation -- Self-Supervised Learning -- Results and Analysis -- Accuracy and Performance -- Enhanced Diagnostic Accuracy -- Sensitivity and Specificity -- Speed and Efficiency -- Reliability and Consistency -- Effects -- Multiscale Convolutional Layers -- Attention Mechanisms -- Switch Learning with Pretrained Models -- GANs for Statistics Augmentation -- Self-SupervisedLearning -- Improved Diagnostic Accuracy and Performance -- Reduced Dependence on Massive Labeled Datasets -- Better Version Robustness and Generalization -- Scalability and Flexibility -- Innovations and Future Instructions -- Multimodal Gaining Knowledge -- Federated Learning for Privateness-RetainingAI -- Explainable AI (XAI) for Stepped Forward Interpretability -- Integration with Wearable Devices -- Real-TimeAdaptive Learning -- Conclusion and Future Scope -- Multimodal Deep Learning Integration -- Federated Learning for Stronger Privacy -- Explainable AI (XAI) for Transparency -- Wearable Generation AI and Continuous Monitoring -- Adaptive Learning and Real-Time Model Updating -- Personalized Remedy and Predictive Analytics -- Collaborative AI Systems -- Stronger Data Augmentation Techniques -- AI-driven Clinical Trials and Research -- International Health and AI-driven Disorder Surveillance -- References. Chapter 6 Applications of AI in Cardiovascular Disease Detection - A Review of the Specific Ways in which AI Is Being Used to Detect and Diagnose Cardiovascular Diseases. |
| Record Nr. | UNINA-9911018804203321 |
Singh Rajesh
|
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Arduino meets MATLAB : interfacing, programs and Simulink / / authored by Rajesh Singh [and three others]
| Arduino meets MATLAB : interfacing, programs and Simulink / / authored by Rajesh Singh [and three others] |
| Autore | Singh Rajesh |
| Pubbl/distr/stampa | Sharjah, UAE : , : Bentham Science Publishers, , [2018] |
| Descrizione fisica | 1 online resource (164 pages) |
| Disciplina | 518.028553 |
| Soggetto topico | System analysis - Data processing |
| ISBN | 1-68108-727-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793124703321 |
|
Singh Rajesh
|
||
| Sharjah, UAE : , : Bentham Science Publishers, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Arduino meets MATLAB : interfacing, programs and Simulink / / authored by Rajesh Singh [and three others]
| Arduino meets MATLAB : interfacing, programs and Simulink / / authored by Rajesh Singh [and three others] |
| Autore | Singh Rajesh |
| Pubbl/distr/stampa | Sharjah, UAE : , : Bentham Science Publishers, , [2018] |
| Descrizione fisica | 1 online resource (164 pages) |
| Disciplina | 518.028553 |
| Soggetto topico | System analysis - Data processing |
| ISBN | 1-68108-727-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910825620403321 |
|
Singh Rajesh
|
||
| Sharjah, UAE : , : Bentham Science Publishers, , [2018] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Business Data Analytics : Second International Conference, ICBDA 2023, Dehradun, India, December 7–8, 2023, Proceedings / / edited by Rajesh Singh, Anita Gehlot
| Business Data Analytics : Second International Conference, ICBDA 2023, Dehradun, India, December 7–8, 2023, Proceedings / / edited by Rajesh Singh, Anita Gehlot |
| Autore | Singh Rajesh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (413 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | GehlotAnita |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Application software Computer engineering Computer networks Computers Artificial Intelligence Computer and Information Systems Applications Computer Engineering and Networks Computing Milieux |
| ISBN |
9783031807787
9783031807770 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- An Analysis and role of Artificial intelligence in the Field of Human resource management to creating enhanced Industry 4.0 for sustainable Development in Economy & its Growth. -- Integrating Computer Vision and Pattern Recognition in Fraud Detection for Financial Accounts. -- A Novel Approach for Diabetic Prediction Using Attribute Subset Selection, K-Means and Logistic Regression. -- Diabetic Retinopathy Detection Approach Using Convolution Neural Networks. -- Voting Regression Model for the Air Quality Prediction. -- Quantitative Assessment on Investigation on the Impact of Artificial Intelligence on HR Practices and Organizational Efficiency for Industry 4.0. -- NIR Spectroscopy for Freshness Detection and Classification of Chicken Eggs. -- Human Action Recognition in Infrared Domain: A Study on IITR-IAR Dataset. -- Software Requirements Prioritization using fuzzy based TOPSIS Methods. -- Predictive Analytics for Inventory Management in Multi-Vendor E-Commerce. -- Data Analytics Augmented by AI in the Realm of 6G Wireless Communication. -- Big Data-Powered Analytics for Fortifying Virtualized Infrastructure Security in the Cloud. -- Orthogonal polynomials and their engineering applications. -- Explainable AI for Drone Data Analytics in Aerial Computing. -- Correlational Analysis of Risk-taking Propensity in Adolescents. -- Analytical insight into cutting-edge image captioning for advanced ChatGPT functionality. -- An Expert System for Talent Prediction and Enhancement of Non-Talented Cricket Performers. -- Predicting Early Dropouts in SWAYAM MOOCs Using Machine Learning Techniques: A Comparative Analysis. -- Data Analysis of Social Media’s Impact on Promotion of organic products in Uttarakhand. -- Enhancing Academic Performance Prediction through K-Means Clustering and Comparative Evaluation of Machine Learning Algorithms: A Case Study on Student Dataset. -- Data Analytics Augmented by AI in the Realm of 6G Wireless Communication. -- Multi-level thresholding segmentation of chest X-ray images of COVID-19 patients using Chaos Game Optimizer and utilizing Kapur's entropy. -- A Spam Detecting Model Based on Basic ML Classifiers: Comparative Analysis via ABC Algorithm and Result Generation. -- Concrete Strength Prediction using Machine Learning. -- Unveiling the Digitalization Dilemma: A Study of Business Analytics Adoption in Small and Mid-Sized Manufacturing Firms post-COVID-19. -- A Comprehensive Survey of Content-Based Music Recommendation Techniques. -- Predictive Analysis of Blockchain Technology for Securing Electronic Health Records. -- Application of Cutting-Edge Deep Learning & NLP Techniques for Mutual Fund NAV Analysis and Investment Evaluation. |
| Record Nr. | UNINA-9910983050203321 |
|
Singh Rajesh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Transforming Academic Libraries : Select Proceedings of ICAL 2023 / / edited by Rajesh Singh, Shiva Kanaujia Sukula
| Transforming Academic Libraries : Select Proceedings of ICAL 2023 / / edited by Rajesh Singh, Shiva Kanaujia Sukula |
| Autore | Singh Rajesh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (899 pages) |
| Disciplina | 027.7 |
| Altri autori (Persone) | SukulaShiva Kanaujia |
| Collana | Transactions on Computer Systems and Networks |
| Soggetto topico |
Application software
Educational technology Mobile computing Computer and Information Systems Applications Digital Education and Educational Technology Mobile Computing |
| ISBN |
9789819989577
9789819989560 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Webometric Analysis of Major Multidisciplinary Libraries’ Websites Under the Delhi University Library System -- Webometric Analysis of Higher Education Institutions in Punjab -- Indigenous Knowledge and Digital Libraries: a case of changing contexts and curiosities -- Effective use of academic libraries: A case study of Gargi College Library, University of Delhi, India -- How the Multilingual Collections Demand Attention in Academic Libraries: Few Obsevations -- Use of Artificial Intelligence in Academic Libraries -- Use of Smartphone Applications and Environmental Related Services at Dr. Yashwant Singh Parmar University of Horticulture and Forestry, Himachal Pradesh, Solan: An Overview -- Open Educational Resources and Its Impact on Research in Higher Education Institutes: A Study of the Top-Ranking Universities of Maharashtra -- Accessing Indian Historical Pictorial Collection in Digital Era: A Case Study of Nehru Memorial Museum and Library -- Perception and Usage of Open Electronic Resources Among the Research Scholars: A Prospect in the Digital Era -- Relevance of Libraries in Underpinning Dismissal Performance of Indian Universities’ in the Global Ranking System: Rationale and Outline -- Role of Academic Libraries in Digital Literacy Transformation -- Standard-driven bibliographic data cleansing framework for ILMS data migration -- Perspectives of faculty members of the central university of North India on INFLIBNET’s initiatives -- Visualizing the Research Output of the Faculty of Management Studies, University of Delhi with Special Reference to the Scopus Database: A Scientometric Study -- Existence and Significance of Information E Resources in the Digital Era -- Data Mining and Analysis of Students Academic Credits Progress in Post Degree Improvement Exams-A Case Study of the University of Delhi -- Data Visualization and Research Metrics: The Pragmatic Approach -- ICTs Adoption in Library and its Imposingness: A Case Study in Tribal Academic Community of Madhya Pradesh -- Theorizing Plagiarism in the Light of Digital Information: The Dilemmas and Possible Solutions -- Open Access Research Publication in Top Five Countries -- Information Seeking Behaviour of the Library Users of National Institute of Technology, Agartala in the Digital Environment: A Study. -- Awareness and perception about research dissemination practices among Faculties of central universities in India -- Visualization of Research Landscape of the Indian Institute of Technology, Guwahati, Assam -- The Contribution of Funding Agencies to Open Access Research Publications in Central Universities of India ranked in NIRF 2022: a comparative study -- Social networking tools, a need of hour at DULS: a proposed model for NEP2.0 -- Mapping of Political Science Research in India: A Bibliometrics Study (2003-2022) -- A systematic review on the Information Literacy research of Asian Countries: A computational study -- Visualising knowledge, research hotspots and trends of literacy studies in the context of library, 1969-2021 -- Influence of academic library outcome on social capital: A case study -- Reading Habits of Students of a School in South Kolkata in the Information Era -- Empowering staff towards professional leadership and development in meeting the challenges of academic libraries in Goa State. -- Analysis of Web-Based Services in Indian Medical Libraries Through Websites: A Study of Selected ICMR Libraries -- Innovations in Information Services and QR Code Technology in Academic Libraries: A Case Study -- Professional Competencies of Select Academic Librarians in Laguna, Philippines: A Preliminary Study -- Library Security in Changing Environment: An Overview -- Design of an Evaluation Framework for Content Analysis of Academic Library Portals -- Smart Phone Usage Pattern by The Engineering College Faculty and Students in Hyderabad: Telangana -- Utilization and awareness of information resources with special reference to open access resources among library users of Sir Mokshagundam Visvesvaraya Institute of Technology, an Indian educational institution College, Bengaluru, Karnataka: An Analytical Study -- A Study on Social Awareness Status on COVID-19 Represented in Government Websites of India, U.K. and U.S.A. -- Medical Libraries in the Era of Open Science -- Democratic Use Of Library Resources: Access, Equity And Availability -- IndianSignLanguageDigitalLibraryonMedical Science: Role of Assistive Technology for Hearing Impaired -- Research Support Services in Libraries: A Survey of Indian Institute of Technology (IIT), Roorkee -- Sustainability of LibrariesThrough Social Media Marketing -- Research Productivity of Kurukshetra University, Kurukshetra During 2012-2022 in Relationship With NIRF Ranking -- Digital information literacy skills among the college students of Assam: A study -- Exploration of ChatGPT Technology toTransform Academic Library Services -- Model Open Access Policy in CurrentScenario -- A Case Studyon the Practices of Research Data Managementby the Researchers of Indian Institute of Technology (IIT), Guwahati -- Citation Analysis of Old Documents Cited in the Doctoral Theses Submitted to the three Universities of Punjab and Chandigarh in Economics. |
| Record Nr. | UNINA-9911018649203321 |
|
Singh Rajesh
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||