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Big Data Analysis And Artificial Intelligence For Medical Sciences

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Big Data Analysis And Artificial Intelligence For Medical Sciences

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Author : Paola Lecca
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-29

Big Data Analysis And Artificial Intelligence For Medical Sciences written by Paola Lecca 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 2024-07-29 with Medical categories.

Big Data Analysis and Artificial Intelligence for Medical Sciences Overview of the current state of the art on the use of artificial intelligence in medicine and biology Big Data Analysis and Artificial Intelligence for Medical Sciences demonstrates the efforts made in the fields of Computational Biology and medical sciences to design and implement robust, accurate, and efficient computer algorithms for modeling the behavior of complex biological systems much faster than using traditional modeling approaches based solely on theory. With chapters written by international experts in the field of medical and biological research, Big Data Analysis and Artificial Intelligence for Medical Sciences includes information on: Studies conducted by the authors which are the result of years of interdisciplinary collaborations with clinicians, computer scientists, mathematicians, and engineers Differences between traditional computational approaches to data processing (those of mathematical biology) versus the experiment-data-theory-model-validation cycle Existing approaches to the use of big data in the healthcare industry, such as through IBM’s Watson Oncology, Microsoft’s Hanover, and Google’s DeepMind Difficulties in the field that have arisen as a result of technological changes, and potential future directions these changes may take A timely and up-to-date resource on the integration of artificial intelligence in medicine and biology, Big Data Analysis and Artificial Intelligence for Medical Sciences is of great benefit not only to professional scholars, but also MSc or PhD program students eager to explore advancement in the field.

Big Data Analysis And Artificial Intelligence For Medical Sciences

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Author : Bruno Carpentieri
language : en
Publisher: John Wiley & Sons
Release Date : 2024-05-31

Big Data Analysis And Artificial Intelligence For Medical Sciences written by Bruno Carpentieri 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 2024-05-31 with Medical categories.

Big Data Analytics For Healthcare

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Author : Pantea Keikhosrokiani
language : en
Publisher: Academic Press
Release Date : 2022-05-19

Big Data Analytics For Healthcare written by Pantea Keikhosrokiani and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-19 with Medical categories.

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. - Presents theories, methods and approaches in which data analytic techniques are used for medical data - Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases - Discusses social, behavioral, and medical fake news analytics for medical information systems

Machine Learning And Deep Learning Techniques For Medical Science

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Author : K. Gayathri Devi
language : en
Publisher: CRC Press
Release Date : 2022-05-11

Machine Learning And Deep Learning Techniques For Medical Science written by K. Gayathri Devi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Technology & Engineering categories.

The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam).

Leveraging Artificial Intelligence In Cloud Edge Fog And Mobile Computing

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Author : Shrikaant Kulkarni
language : en
Publisher: CRC Press
Release Date : 2025-09-16

Leveraging Artificial Intelligence In Cloud Edge Fog And Mobile Computing written by Shrikaant Kulkarni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.

In an era defined by rapid technological advancements, the convergence of artificial intelligence (AI) with cloud, edge, fog, and mobile computing is transforming the landscape of computing and data processing. These emerging technologies are not only enhancing computational capabilities but also paving the way for innovative applications across diverse industries, from healthcare and finance to transportation and entertainment. Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing explores the symbiotic relationship between AI and these computing paradigms. As AI continues to evolve, its integration with cloud, edge, fog, and mobile computing platforms is unlocking new potentials and driving efficiencies and enabling real-time, intelligent decision-making processes. The book begins with an in-depth examination of the foundational principles of cloud, edge, fog, and mobile computing, followed by a detailed analysis of how AI technologies are being embedded within these frameworks. It then delves into the unique advantages and challenges of each paradigm, highlighting their roles in facilitating seamless, decentralized data processing and enhancing user experiences. The book is structured to provide a comprehensive understanding of the current state and future directions of AI in these computing environments. The book is intended to serve as a resource and inspiration for those seeking to explore the vast potential of AI in the realms of cloud, edge, fog, and mobile computing. Its goal is to spark new ideas, foster innovation, and contribute to the ongoing dialogue on the future of intelligent computing.

Innovations In Teaching And Learning For Health Professions Educators

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Author : Roger Edwards
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-02

Innovations In Teaching And Learning For Health Professions Educators written by Roger Edwards and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Medical categories.

The health professions continue to evolve and change rapidly as more opportunities and challenges emerge. Hence, health professions educators are required to be adaptive and nimble in their creation and adoption of teaching and learning innovations. These innovations have included teaching with technologies like virtual reality, gamification, online applications, and artificial intelligence. Innovations also include “know-how” such as emotional intelligence and ways of approaching the learning process through student-centered learning experiences grounded in the cognitive science of learning. Scholarship related to identification of the best uses of different innovations is difficult. The same innovations have proven to be engaging in some contexts and burdensome in others. Additionally, simulation-based education continues to incorporate innovations in how health professions educators are taught with more focus on effectiveness of the simulation educator including applications with distance simulation. Training and development for health professions and simulation educators is becoming more formalized, yet gaps on effectiveness of training and development efforts persist. Faculty effectiveness, especially as it relates to educational innovation adoption, is difficult to measure; and demonstration of related competencies is in its infancy. The goal of this Research Topic is to bring together state-of-the-art examples of scholarship in health professions education related to the awareness and appropriate adoption of innovation, which is broadly defined as an idea, practice, technology, and know-how. Evidence about the current state of emerging innovations, effectiveness of innovations and evidence about the competencies needed for teaching in our evolving environments are all areas of interest for this collection. All types of scholarship can support this focus, including analyses based on primary quantitative and qualitative data collection, secondary data analyses, literature reviews, and methodological infrastructure/tool development. Additionally, scholarship investigating how these innovations have influenced health professions educators, including their training and development, is part of the goal of the collection. The scope of this collection covers any innovations that are applicable to professional development and implementation for health professions educators. More specifically, we invite scholarship related to how educators prepare themselves for meeting the needs of their students, given the changing roles and innovations available to both faculty and students across learning environments worldwide. Examples of topics of interest include: • Analyses of innovation related to the evolving roles of health professions educators; • Reviews of educational innovation adoption by health professions education faculty, especially related to artificial intelligence-linked applications; • Exploring factors associated with professional development, training, and effective educational innovation adoption by faculty. • Simulation-based educational innovation applications for faculty development; • Faculty innovation in resource-constrained environments in low- and middle-income countries. • Methodological challenges associated with studying educational innovations by faculty in health professions education and critical research needs associated with generating and evaluating educational innovations; • Methodological considerations associated with health professions education faculty competencies. Theoretically-focused analyses are welcome as long as they are linked to applications.

Digital Health Transformation With Blockchain And Artificial Intelligence

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Author : Chinmay Chakraborty
language : en
Publisher: CRC Press
Release Date : 2022-05-10

Digital Health Transformation With Blockchain And Artificial Intelligence written by Chinmay Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-10 with Computers categories.

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Artificial Intelligence And Natural Algorithms

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Author : Rijwan Khan
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-09-23

Artificial Intelligence And Natural Algorithms written by Rijwan Khan and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-23 with Computers categories.

This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science. The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis. The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare. The goal of the book is to equip the reader - students and data analysts - with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.

Artificial Intelligence And Computational Dynamics For Biomedical Research

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Author : Ankur Saxena
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-11-07

Artificial Intelligence And Computational Dynamics For Biomedical Research written by Ankur Saxena and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-07 with Computers categories.

This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.

Artificial Intelligence And Machine Learning In Medical Science

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Author : Ajay Prakash Pasupulla
language : en
Publisher: Sonzal publishers
Release Date :

Artificial Intelligence And Machine Learning In Medical Science written by Ajay Prakash Pasupulla and has been published by Sonzal publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on with Education categories.

Big Data Analysis And Artificial Intelligence For Medical Sciences

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