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| Author | : João Valente Cordeiro |
| Publisher | : Frontiers Media SA |
| Total Pages | : 291 |
| Release | : 2023-10-25 |
| Genre | : Medical |
| ISBN | : 2832537049 |
| Author | : Mowafa Househ |
| Publisher | : Springer |
| Total Pages | : 144 |
| Release | : 2019-02-26 |
| Genre | : Medical |
| ISBN | : 3030061094 |
This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.
| Author | : Nandini Mukherjee |
| Publisher | : CRC Press |
| Total Pages | : 236 |
| Release | : 2019-01-15 |
| Genre | : Computers |
| ISBN | : 1351057782 |
This book focuses on the different aspects of handling big data in healthcare. It showcases the current state-of-the-art technology used for storing health records and health data models. It also focuses on the research challenges in big data acquisition, storage, management and analysis.
| Author | : Houneida Sakly |
| Publisher | : Springer Nature |
| Total Pages | : 256 |
| Release | : 2023-01-01 |
| Genre | : Medical |
| ISBN | : 3031111990 |
This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.
| Author | : Aboul Ella Hassanien |
| Publisher | : CRC Press |
| Total Pages | : 340 |
| Release | : 2018-10-25 |
| Genre | : Computers |
| ISBN | : 135103037X |
Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.
| Author | : Adam Bohr |
| Publisher | : Academic Press |
| Total Pages | : 385 |
| Release | : 2020-06-21 |
| Genre | : Computers |
| ISBN | : 0128184396 |
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
| Author | : Mowafa Househ |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : HEALTH & FITNESS |
| ISBN | : 9783030061104 |
This is the first book offering a comprehensive, yet concise, view on both the challenges and opportunities related to the use of big data in health care. The different chapters report on different perspectives: from health management to patient safety; from the human factor perspective to the ethical and economic ones, and more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the work presented not only sheds light on the problems of big data, but also paves the way for possible solutions and future research directions. The book offers a useful reference guide to health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, helping them in their decision making processes, as well as to students and academicians learning or dealing with data science related research issues in healthcare.
| Author | : Laura Weiss Roberts, M.D., M.A. |
| Publisher | : American Psychiatric Pub |
| Total Pages | : 1378 |
| Release | : 2019-05-02 |
| Genre | : Medical |
| ISBN | : 1615371508 |
The new seventh edition reflects advances in the understanding of the etiology, diagnosis, and treatment of psychiatric disorders as well as the positive, transformational change that has taken place in the field of psychiatry.
| Author | : Baral, Sukanta Kumar |
| Publisher | : IGI Global |
| Total Pages | : 330 |
| Release | : 2024-04-05 |
| Genre | : Computers |
| ISBN | : |
In the world of digital healthcare, a critical issue looms large, demanding the immediate attention of academic scholars. The convergence of developing medical technologies, innovative digital solutions, and intricate healthcare structures has set the stage for a seismic transformation. However, the understanding of this evolving landscape remains inadequate, and the urgency to decipher these intricacies has never been more pressing. As we witness the rapid expansion of mobile-based digital healthcare, a fundamental problem becomes evident – a lack of comprehensive research on the industry's structure and dynamics. This gaping void in knowledge is the challenge that Analyzing Current Digital Healthcare Trends Using Social Networks undertakes with groundbreaking academic rigor. This book is a key resolution to this overarching problem, and it is meticulously designed to serve academic scholars seeking to unravel the intricacies of the digital healthcare ecosystem. By delving deep into the web of stakeholders, industry-specific challenges, and regulatory frameworks, it provides a comprehensive analysis that is long overdue. Extensive use of research articles, case studies, and empirical evidence serves as a compass to navigate the complexities of digital healthcare. The ultimate goal is to empower academic scholars with knowledge, bridging the gap between theory and practice.
| Author | : Sorin Hostiuc |
| Publisher | : Elsevier |
| Total Pages | : 556 |
| Release | : 2023-08-14 |
| Genre | : Science |
| ISBN | : 0443190461 |
The Human Genome Project has triggered a technological revolution that has influenced nearly every field of medicine, including reproductive medicine, obstetrics, gynecology, andrology, prenatal genetic testing, and gene therapy. This second edition of Clinical Ethics at the Crossroads of Genetic and Reproductive Technologies offers a thorough, timely discussion of ethical issues raised by the latest genetic and genomic technologies applied in human reproductive and prenatal medicine, providing practical recommendations, guidelines, and algorithms to support ethical clinical practice. Here, international experts consider the ethics of technologies from preconception carrier screening to genetic engineering, CRISPR gene editing, mitochondrial gene replacement therapy, sex selection, predictive testing, secondary findings, embryo reduction, and the moral status of the embryo, genetic enhancement, and the sharing of genetic data. Throughout the book, contributors adopt a global, holistic perspective on applied challenges and the moral questions around the implementation of genetic reproductive technologies. The book is an ideal resource for practitioners, regulators, lawmakers, clinical researchers, genetic counselors, and graduate and medical students.This fully updated second edition examines new developments in the field, tackling ethical aspects of organoid development, recent advances in pharmacogenomics, direct-to-consumer genetic testing, and genetic engineering. • Provides practical analysis of the ethical issues raised by cutting-edge techniques and recent advances in prenatal and reproductive geneticsContains contributions from leading bioethicists and clinicians who offer a global, holistic perspective on applied challenges and moral questions relating to genetic and genomic reproductive technology • Discusses preconception carrier screening, genetic engineering, and the use of CRISPR gene editing, mitochondrial gene replacement therapy, and ethical issues, among others • Considers ethical aspects of recent advances and new technologies in the field, from organoid development to pharmacogenomics and direct-to-consumer genetic testing
