Big Data in Psychiatry and Neurology Book

Big Data in Psychiatry and Neurology


  • Author : Ahmed A. Moustafa
  • Publisher : Academic Press
  • Release Date : 2021-06-24
  • Genre: Medical
  • Pages : 384
  • ISBN 10 : 9780128230022

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Big Data in Psychiatry and Neurology Excerpt :

Big Data in Psychiatry and Neurology provides an up-to-date overview of achievements in the field of big data in Psychiatry and Medicine, including applications of big data methods to aging disorders (e.g., Alzheimer’s disease and Parkinson’s disease), mood disorders (e.g., major depressive disorder), and drug addiction. This book will help researchers, students and clinicians implement new methods for collecting big datasets from various patient populations. Further, it will demonstrate how to use several algorithms and machine learning methods to analyze big datasets, thus providing individualized treatment for psychiatric and neurological patients. As big data analytics is gaining traction in psychiatric research, it is an essential component in providing predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Discusses longitudinal big data and risk factors surrounding the development of psychiatric disorders Analyzes methods in using big data to treat psychiatric and neurological disorders Describes the role machine learning can play in the analysis of big data Demonstrates the various methods of gathering big data in medicine Reviews how to apply big data to genetics

The Ethics of Biomedical Big Data Book

The Ethics of Biomedical Big Data


  • Author : Brent Daniel Mittelstadt
  • Publisher : Springer
  • Release Date : 2016-08-03
  • Genre: Philosophy
  • Pages : 480
  • ISBN 10 : 9783319335254

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The Ethics of Biomedical Big Data Excerpt :

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.

Advanced Visual Interfaces  Supporting Artificial Intelligence and Big Data Applications Book

Advanced Visual Interfaces Supporting Artificial Intelligence and Big Data Applications


  • Author : Thoralf Reis
  • Publisher : Springer Nature
  • Release Date : 2021-02-02
  • Genre: Computers
  • Pages : 201
  • ISBN 10 : 9783030680077

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Advanced Visual Interfaces Supporting Artificial Intelligence and Big Data Applications Excerpt :

This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in September 2020. The 14 regular papers in this volume present topics such as big data collection, management and curation; big data analytics; big data interaction and perception; big data insight and effectuation; configuration and management of big data storage and compute infrastructures, services, and tools; advanced visual interaction in big data applications; user empowerment and meta design in big data applications; prediction and automation of big data analysis workflows; as well as data visualization; information visualization; visual analytics; infographics; and design.

Intelligent Methods and Big Data in Industrial Applications Book

Intelligent Methods and Big Data in Industrial Applications


  • Author : Robert Bembenik
  • Publisher : Springer
  • Release Date : 2018-05-18
  • Genre: Technology & Engineering
  • Pages : 376
  • ISBN 10 : 9783319776040

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Intelligent Methods and Big Data in Industrial Applications Excerpt :

The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Artificial Intelligence and Big Data Analytics for Smart Healthcare Book

Artificial Intelligence and Big Data Analytics for Smart Healthcare


  • Author : Miltiadis Lytras
  • Publisher : Academic Press
  • Release Date : 2021-10-22
  • Genre: Business & Economics
  • Pages : 290
  • ISBN 10 : 9780128220627

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Artificial Intelligence and Big Data Analytics for Smart Healthcare Excerpt :

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Big Data in Multimodal Medical Imaging Book

Big Data in Multimodal Medical Imaging


  • Author : Ayman El-Baz
  • Publisher : CRC Press
  • Release Date : 2019-11-05
  • Genre: Computers
  • Pages : 330
  • ISBN 10 : 9781351380737

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Big Data in Multimodal Medical Imaging Excerpt :

There is an urgent need to develop and integrate new statistical, mathematical, visualization, and computational models with the ability to analyze Big Data in order to retrieve useful information to aid clinicians in accurately diagnosing and treating patients. The main focus of this book is to review and summarize state-of-the-art big data and deep learning approaches to analyze and integrate multiple data types for the creation of a decision matrix to aid clinicians in the early diagnosis and identification of high risk patients for human diseases and disorders. Leading researchers will contribute original research book chapters analyzing efforts to solve these important problems.

Medical Computer Vision  Algorithms for Big Data Book

Medical Computer Vision Algorithms for Big Data


  • Author : Bjoern Menze
  • Publisher : Springer
  • Release Date : 2016-07-29
  • Genre: Computers
  • Pages : 182
  • ISBN 10 : 9783319420165

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Medical Computer Vision Algorithms for Big Data Excerpt :

This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015. The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Book

Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics


  • Author : Sunil Kumar Dhal
  • Publisher : John Wiley & Sons
  • Release Date : 2022-05-20
  • Genre: Computers
  • Pages : 352
  • ISBN 10 : 9781119792352

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics Excerpt :

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Convergence Mental Health Book

Convergence Mental Health


  • Author : Harris A. Eyre
  • Publisher : Oxford University Press, USA
  • Release Date : 2021-01-19
  • Genre: Medical
  • Pages : 624
  • ISBN 10 : 9780197506271

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Convergence Mental Health Excerpt :

Convergence science is the process whereby innovation comes from the cross pollination of diverse disciplines, industries and cultures, carrying ideas and approaches across boundaries. This book is a blueprint for how this could and should occur in mental health in order to solve the complex, multi-system problems that the field faces.

Handbook of Health Decision Science Book

Handbook of Health Decision Science


  • Author : Michael A. Diefenbach
  • Publisher : Springer
  • Release Date : 2016-09-26
  • Genre: Psychology
  • Pages : 377
  • ISBN 10 : 9781493934867

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Handbook of Health Decision Science Excerpt :

This comprehensive reference delves into the complex process of medical decision making—both the nuts-and-bolts access and insurance issues that guide choices and the cognitive and affective factors that can make patients decide against their best interests. Wide-ranging coverage offers a robust evidence base for understanding decision making across the lifespan, among family members, in the context of evolving healthcare systems, and in the face of life-changing diagnosis. The section on applied decision making reviews the effectiveness of decision-making tools in healthcare, featuring real-world examples and guidelines for tailored communications with patients. Throughout, contributors spotlight the practical importance of the field and the pressing need to strengthen health decision-making skills on both sides of the clinician/client dyad. Among the Handbook’s topics: From laboratory to clinic and back: connecting neuroeconomic and clinical mea sures of decision-making dysfunctions. Strategies to promote the maintenance of behavior change: moving from theoretical principles to practices. Shared decision making and the patient-provider relationship. Overcoming the many pitfalls of communicating risk. Evidence-based medicine and decision-making policy. The internet, social media, and health decision making. The Handbook of Health Decision Science will interest a wide span of professionals, among them health and clinical psychologists, behavioral researchers, health policymakers, and sociologists.

Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 Book
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Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018


  • Author : ConferenceSeries
  • Publisher : ConferenceSeries
  • Release Date : 2022-06-27
  • Genre: Uncategoriezed
  • Pages : 89
  • ISBN 10 : 978186723xxxx

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Proceedings of 5th International Conference on Big Data Analysis and Data Mining 2018 Excerpt :

June 20-22, 2018 Rome, Italy Key Topics : Data Mining Applications in Science, Engineering, Healthcare and Medicine, Big Data in Nursing Research, Data Mining and Machine Learning, Big Data Analytics, Optimization and Big Data, Big data technologies, Big Data algorithm, Big Data Applications, Forecasting from Big Data, Data Mining Methods and Algorithms, Artificial Intelligence, Data privacy and ethics, Data Warehousing, Data Mining Tools and Software, Data Mining Tasks and Processes, Data Mining analysis, Cloud computing, Internet of things (IOT), Social network analysis, Complexity and algorithms, Business Analytics, Open data, New visualization techniques, Search and data mining, Frequent pattern mining, Clustering, Others

Signal Processing and Machine Learning for Biomedical Big Data Book

Signal Processing and Machine Learning for Biomedical Big Data


  • Author : Ervin Sejdic
  • Publisher : CRC Press
  • Release Date : 2018-07-04
  • Genre: Medical
  • Pages : 606
  • ISBN 10 : 9781351061216

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Signal Processing and Machine Learning for Biomedical Big Data Excerpt :

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will describe signal processing, machine learning, and parallel computing strategies to revolutionize the world of medical analytics and diagnosis as presented by world class researchers and experts in this important field. The chapters will desribe tools that can be used by biomedical and clinical practitioners as well as industry professionals. It will give signal processing researchers a glimpse into the issues faced with Big Medical Data.

Proceedings of 8th Edition of International Conference on Big Data   Data Science 2019 Book

Proceedings of 8th Edition of International Conference on Big Data Data Science 2019


  • Author : Euroscicon
  • Publisher : EuroScicon
  • Release Date : 2019-02-24
  • Genre: Computers
  • Pages : 43
  • ISBN 10 : 978186723xxxx

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Proceedings of 8th Edition of International Conference on Big Data Data Science 2019 Excerpt :

March 04-05, 2019, Barcelona, Spain Key Topics: Big Data Analytics ,Big Data Algorithms ,Big Data In Bioinformatics ,Data Mining With Big Data ,Visualization In Big Data ,Big Data In Neural Network For Deep Learning ,High Performance Computing For Big Data ,Machine Learning In Data Science ,Open Science In Big Data ,Hadoop Map-Reduce For Analyzing Information ,Regression In Data Science ,Big Data Applications