Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics
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Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics
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Author : Bhumika Shah Dr. Arun Prakash Agarwal
language : en
Publisher: DeepMisti Publication
Release Date : 2025-02-02
Foundations And Applications Of Ai In Data Engineering And Healthcare Analytics written by Bhumika Shah Dr. Arun Prakash Agarwal and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-02 with Computers categories.
The advent of artificial intelligence (AI) has ushered in a new era of possibilities, transforming industries and redefining how we solve complex problems. Among its most promising applications, data engineering and healthcare analytics stand out as fields where AI’s potential can revolutionize processes, unlock insights, and enhance outcomes. However, realizing this potential requires a solid understanding of foundational concepts, cutting-edge techniques, and their real- world applications. Foundations and Applications of AI in Data Engineering and Healthcare Analytics bridges the gap between theory and practice, offering readers a comprehensive exploration of AI’s role in these critical domains. This book serves as both an introduction for newcomers and an advanced resource for professionals seeking to deepen their expertise. In the realm of data engineering, AI empowers organizations to manage, process, and analyze vast volumes of data with unprecedented efficiency. From intelligent data pipelines to real-time analytics, this book delves into the tools and techniques that make data actionable and impactful. In healthcare analytics, AI is driving breakthroughs that were once thought impossible—predictive modeling for patient care, personalized medicine, and early disease detection, to name a few. By combining case studies, technical insights, and practical guidelines, this book highlights how AI is shaping a smarter, more responsive healthcare ecosystem. As you embark on this journey, you’ll gain not only the technical knowledge required to implement AI solutions but also the critical perspective needed to navigate ethical considerations, regulatory frameworks, and the human impact of these innovations. Whether you are a data engineer, a healthcare professional, a researcher, or an AI enthusiast, this book offers a roadmap to understanding and leveraging AI to solve real-world challenges in data and healthcare. Welcome to a world where AI meets data and healthcare, unlocking possibilities for a better future. Authors
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Data Engineering Unlocked
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Author : Rakesh G
language : en
Publisher: Notion Press
Release Date : 2025-03-22
Data Engineering Unlocked written by Rakesh G and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Computers categories.
Data Engineering Unlocked Master the Foundations of Data Engineering and Unlock the Power of Data "Data Engineering Unlocked" is your ultimate guide to navigating the ever-evolving world of Data Engineering. Designed for beginners, aspiring professionals, and industry leaders, this book breaks down complex concepts into clear, actionable insights. Through real-world examples and foundational principles, it demystifies the critical role of Data Engineers in shaping industries—from e-commerce recommendations to real-time healthcare analytics. Whether you’re exploring the basics or looking to deepen your expertise, this book equips you with the mindset, tools, and strategies to thrive in this high-demand field. Unlock the power of Data Engineering and step into the future.
Data Engineering In Medical Imaging
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Author : Binod Bhattarai
language : en
Publisher: Springer Nature
Release Date : 2023-09-30
Data Engineering In Medical Imaging written by Binod Bhattarai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-30 with Computers categories.
Volume LNCS 14414 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada in October 2023. The DEMI 2023 proceedings contain 11 high-quality papers of 9 to 15 pages pre-selected through a rigorous peer review process (with an average of three reviews per paper). All submissions were peer-reviewed through a double-blind process by at least three members of the scientific review committee, comprising 16 experts in the field of medical imaging. The accepted manuscripts cover various medical image analysis methods and applications.
Data Governance Devsecops And Advancements In Modern Software
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Author : Elbaghazaoui, Bahaa Eddine
language : en
Publisher: IGI Global
Release Date : 2025-04-24
Data Governance Devsecops And Advancements In Modern Software written by Elbaghazaoui, Bahaa Eddine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-24 with Computers categories.
In today’s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection. Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.
Artificial Intelligence Medical Engineering And Education
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Author : Z.B. Hu
language : en
Publisher: IOS Press
Release Date : 2024-02-28
Artificial Intelligence Medical Engineering And Education written by Z.B. Hu and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-28 with Computers categories.
Artificial Intelligence (AI) is a rapidly developing field of computer science which now plays an increasingly important role in many disciplines. A catalyst for significant change, research into AI is of particular importance in fields such as medicine and education, and as such has become an area to watch for many people worldwide. This book presents the proceedings of AIMEE 2023, the 7th International Conference on Artificial Intelligence, Medical Engineering and Education, held on 9 and 10 November 2023 in Guangzhou, China. The conference brought together top international researchers from around the world to exchange research results and address open issues in AI, medical engineering and education. A total of 238 submissions were received for AIMEE 2023, of which 89 papers were selected for presentation and publication after a rigorous international peer review process. The book is divided into 3 sections, covering artificial intelligence and scientific methodology; systems engineering and analysis: concepts, methods, and applications; and education reform and innovation. Presenting papers which explore and discuss many novel concepts and methodologies contributing to the rapid evolution of artificial intelligence and its applications, the book will be of interest to all those working in the relevant fields.
Artificial Intelligence And Cybersecurity In Healthcare
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Author : Rashmi Agrawal
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01
Artificial Intelligence And Cybersecurity In Healthcare written by Rashmi Agrawal and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Computers categories.
Artificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas.
Artificial Intelligence Techniques For Analysing Sensitive Data In Medical Cyber Physical Systems
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Author : Massimo Ficco
language : en
Publisher: Springer Nature
Release Date : 2025-01-22
Artificial Intelligence Techniques For Analysing Sensitive Data In Medical Cyber Physical Systems written by Massimo Ficco and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
This book presents the major advances in techniques to preserve privacy and security requirements connected with the use of AI and machine learning (ML) to analyse and manage sensitive data in MCPSs. The advances in Internet of things and artificial intelligence (AI) have witnessed great progress on healthcare technologies in several application domains. In particular, the interconnection between the physical spaces, characterized by physical devices able to collect users’ health information, with the cyberspace, also known as the virtual space, has fostered the development of intelligent Medical Cyber-Physical Systems (MCPSs) with the capability to deliver real-time healthcare services. On the other hand, the potential innovation that these technologies bring to improve patient care, by remotely analysing health parameters using medical devices, advanced smart sensors, and AI, is hampered by security and privacy challenges related to the managed sensitive data. Starting from the state of the art on AI and ML for medical applications and digital health, an accurate analysis of privacy and security risks associated with the use of the MCPSs is presented. Then, Digital Twins are introduced as a significant technique to enhance decision-making through learning and reasoning of collected on-field real-time data. Moreover, decentralized healthcare data management approaches based on federated learning, tiny machine learning, and blockchain technologies have been introduced to shift control and responsibility of healthcare data management from individual centralized entities to a more distributed structure, preserving privacy and security. Finally, the application of AI-based security monitoring approaches in healthcare is discussed. In this book, both theoretical and practical approaches are used to allow readers to understand complex topics and concepts easily also through real-life scenarios.
The Routledge Handbook Of Artificial Intelligence And International Relations
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Author : Diego Brasioli
language : en
Publisher: Taylor & Francis
Release Date : 2025-05-15
The Routledge Handbook Of Artificial Intelligence And International Relations written by Diego Brasioli and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Political Science categories.
The Routledge Handbook of Artificial Intelligence and International Relations examines how machines, algorithms, and data are reshaping the way nations interact, negotiate, and navigate global politics. In the 21st century, artificial intelligence (AI) has transformed from a theoretical wonder to a real force, and with it the race to dominate new technologies is proving to be a key geopolitical concern. This book looks at both the ways in which AI is transforming the landscape of international relations and the challenges this brings. The book includes discussions on: The need for regulations and oversight to make sure that AI is used in an ethical way AI’s role in conflict resolution and peacekeeping and its influence on economic alliances The ethical and moral dilemmas posed by autonomous systems making life-or-death decisions Frameworks that ensure responsible and accountable use of AI How the choices we make today will define the contours of global equilibrium for generations to come With a variety contributions from policy analysts, philosophers, government officials, scientists, researchers, and business representatives, this book appeals to students and researchers of political science, international relations, computer science, and ethics. It also holds interest for professionals in government organizations and NGOs at national and international levels.
Machine Learning For Cyber Physical Systems
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Author : Jürgen Beyerer
language : en
Publisher: Springer Nature
Release Date : 2020-12-23
Machine Learning For Cyber Physical Systems written by Jürgen Beyerer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-23 with Technology & Engineering categories.
This open access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains selected papers from the fifth international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Berlin, March 12-13, 2020. Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.