Big Data in Otolaryngology

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Publisher :
ISBN 13 : 9780443105203
Total Pages : 0 pages
Book Rating : 4.1/5 (52 download)

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Book Synopsis Big Data in Otolaryngology by : Jennifer A. Villwock

Download or read book Big Data in Otolaryngology written by Jennifer A. Villwock and published by . This book was released on 2023-10-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data plays an increasingly important role in today's practice of otolaryngology and in all of healthcare. In Big Data in Otolaryngology, Dr. Jennifer Villwock leads a team of expert authors who provide a comprehensive view of many key impacts of big data in otolaryngology-including understanding what big data is and what we can and cannot learn from it; best practices regarding analysis; translating findings to clinical care and associated cautions; ethical issues; and future directions. Covers the clinical relevance of big data in otolaryngology, lessons and limitations of large administrative datasets, biologic big data, and much more. Discusses artificial intelligence (AI) in otolaryngology and its clinical application. Presents a patient perspective on big data in otolaryngology and its use in clinical care, as well as a glimpse into the future of big data. Compiles the knowledge and expertise of leading experts in the field who have assembled the most up-to-date recommendations for managing big data in otolaryngology. Consolidates today's available information on this timely topic into a single, convenient resource.

Big Data in Otolaryngology

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Author :
Publisher : Elsevier Health Sciences
ISBN 13 : 0443105219
Total Pages : 262 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Big Data in Otolaryngology by : Jennifer A. Villwock

Download or read book Big Data in Otolaryngology written by Jennifer A. Villwock and published by Elsevier Health Sciences. This book was released on 2024-07-17 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data plays an increasingly important role in today’s practice of otolaryngology and in all of healthcare. In Big Data in Otolaryngology, Dr. Jennifer Villwock leads a team of expert authors who provide a comprehensive view of many key impacts of big data in otolaryngology—including understanding what big data is and what we can and cannot learn from it; best practices regarding analysis; translating findings to clinical care and associated cautions; ethical issues; and future directions. Covers the clinical relevance of big data in otolaryngology, lessons and limitations of large administrative datasets, biologic big data, and much more. Discusses artificial intelligence (AI) in otolaryngology and its clinical application. Presents a patient perspective on big data in otolaryngology and its use in clinical care, as well as a glimpse into the future of big data. Compiles the knowledge and expertise of leading experts in the field who have assembled the most up-to-date recommendations for managing big data in otolaryngology. Consolidates today's available information on this timely topic into a single, convenient resource.

Business of Otolaryngology , An Issue of Otolaryngologic Clinics of North America, E-Book

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Publisher : Elsevier Health Sciences
ISBN 13 : 0323850081
Total Pages : 225 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Business of Otolaryngology , An Issue of Otolaryngologic Clinics of North America, E-Book by : Stephen P. Cragle

Download or read book Business of Otolaryngology , An Issue of Otolaryngologic Clinics of North America, E-Book written by Stephen P. Cragle and published by Elsevier Health Sciences. This book was released on 2021-11-30 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Otolaryngologic Clinics, guest editors Stephen P. Cragle and Eileen H. Dauer bring their considerable expertise to the topic of Business of Otolaryngology. Top experts in the field cover key topics such as Committing Otolaryngology to pay equity and diversity, Coding for optimal payment, E-health & Telemedicine in Otolaryngology, and more. Contains 15 relevant, practice-oriented topics including Making a major change – changing your practice setting, retirement, and locums; Talking to patients and their families about adverse events – how transparency and empathy can be transformative for all (Michigan Model or CANDOR); Entrepreneurship and Innovation in Otolaryngology; and more. Provides in-depth clinical reviews on the Business of Otolaryngology, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Artificial Intelligence in Otolaryngology, An Issue of Otolaryngologic Clinics of North America

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Publisher : Elsevier Health Sciences
ISBN 13 : 0443313539
Total Pages : 249 pages
Book Rating : 4.4/5 (433 download)

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Book Synopsis Artificial Intelligence in Otolaryngology, An Issue of Otolaryngologic Clinics of North America by : Anais Rameau

Download or read book Artificial Intelligence in Otolaryngology, An Issue of Otolaryngologic Clinics of North America written by Anais Rameau and published by Elsevier Health Sciences. This book was released on 2024-09-05 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Otolaryngologic Clinics, guest editors Drs. Anais Rameau and Matthew G. Crowson bring their considerable expertise to the topic of Artificial Intelligence in Otolaryngology. Top experts in the field cover timely topics in the areas of Best Practices, AI Modalities, Implementation and Governance, and Subspecialty AI. Contains 17 relevant, practice-oriented topics including clinical data/machine learning; generative AI and otolaryngology-head and neck surgery; ethics; AI in otology and neurotology; AI in facial plastic and reconstructive surgery; AI in pediatric otolaryngology; and more. Provides in-depth clinical reviews on artificial intelligence in otolaryngology, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832537049
Total Pages : 291 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications by : João Valente Cordeiro

Download or read book Perspectives in digital health and big data in medicine: Current trends, professional challenges, and ethical, legal, and social implications written by João Valente Cordeiro and published by Frontiers Media SA. This book was released on 2023-10-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Otolaryngology, an Issue of Otolaryngologic Clinics of North America

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Author :
Publisher : Elsevier
ISBN 13 : 9780443313523
Total Pages : 0 pages
Book Rating : 4.3/5 (135 download)

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Book Synopsis Artificial Intelligence in Otolaryngology, an Issue of Otolaryngologic Clinics of North America by : Anais Rameau

Download or read book Artificial Intelligence in Otolaryngology, an Issue of Otolaryngologic Clinics of North America written by Anais Rameau and published by Elsevier. This book was released on 2024-10-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this issue of Otolaryngologic Clinics, guest editors Drs. Anais Rameau and Matthew G. Crowson bring their considerable expertise to the topic of Artificial Intelligence in Otolaryngology. Top experts in the field cover timely topics in the areas of Best Practices, AI Modalities, Implementation and Governance, and Subspecialty AI. Contains 17 relevant, practice-oriented topics including clinical data/machine learning; generative AI and otolaryngology-head and neck surgery; ethics; AI in otology and neurotology; AI in facial plastic and reconstructive surgery; AI in pediatric otolaryngology; and more. Provides in-depth clinical reviews on artificial intelligence in otolaryngology, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

Machine Learning Applications for Clinical Data in Otolaryngology-Head Neck Surgery

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)

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Book Synopsis Machine Learning Applications for Clinical Data in Otolaryngology-Head Neck Surgery by : Matthew Gordon Crowson

Download or read book Machine Learning Applications for Clinical Data in Otolaryngology-Head Neck Surgery written by Matthew Gordon Crowson and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying novel analytic techniques -- such as machine learning -- may be fruitful in identifying possibilities for resource optimization and novel methods of care delivery. In this thesis, the current state of machine learning in Otolaryngology-Head Neck Surgery and the specific application of machine learning to a full range of challenges is reviewed. Novel analyses using computer vision for automatic audiogram interpretation, predicting post-operative cochlear implant performance using diverse pre-operative patient variables, and natural language processing for detecting patterns in adverse event reports related to cochlear implant devices are presented. We observe that conventional machine learning techniques generate high performance in these prediction tasks. Thinking more broadly, uncertainty in medicine and subsequent wasteful care is one of the key drivers of runaway health care spending in today's health care ecosystem. Machine learning is poised to help reduce uncertainty in clinical decision making to serve the value-based health care mandate.

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

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Author :
Publisher : EuroScicon
ISBN 13 :
Total Pages : 43 pages
Book Rating : 4./5 ( download)

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Book Synopsis Proceedings of 8th Edition of International Conference on Big Data & Data Science 2019 by : Euroscicon

Download or read book Proceedings of 8th Edition of International Conference on Big Data & Data Science 2019 written by Euroscicon and published by EuroScicon. This book was released on 2019-02-24 with total page 43 pages. Available in PDF, EPUB and Kindle. Book 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

Big Data Analytics and Intelligence

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Publisher : Emerald Group Publishing
ISBN 13 : 1839090995
Total Pages : 392 pages
Book Rating : 4.8/5 (39 download)

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Book Synopsis Big Data Analytics and Intelligence by : Poonam Tanwar

Download or read book Big Data Analytics and Intelligence written by Poonam Tanwar and published by Emerald Group Publishing. This book was released on 2020-09-30 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.

Big data analytics for smart healthcare applications

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Publisher : Frontiers Media SA
ISBN 13 : 2832515754
Total Pages : 1365 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Big data analytics for smart healthcare applications by : Celestine Iwendi

Download or read book Big data analytics for smart healthcare applications written by Celestine Iwendi and published by Frontiers Media SA. This book was released on 2023-04-17 with total page 1365 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Otolaryngology Cases

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Publisher : Thieme
ISBN 13 : 1638534314
Total Pages : 680 pages
Book Rating : 4.6/5 (385 download)

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Book Synopsis Otolaryngology Cases by : Myles L. Pensak

Download or read book Otolaryngology Cases written by Myles L. Pensak and published by Thieme. This book was released on 2017-10-20 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is a nice consistent style...which makes for very easy reading and not just dipping in at random...The brief, punchy style of this book is highly recommended to all trainees and, at least as much, to their trainers. -- The Journal of Laryngology & Otology In the tradition of the acclaimed first edition, experts from the University of Cincinnati's Department of Otolaryngology-Head and Neck Surgery present new case reviews. Every chapter presents patient-based scenarios to prepare practitioners for ENT cases they will encounter during rounds, rotations, and patient exams. By establishing a uniform algorithm in obtaining and utilizing discreet points of data, the authors encourage a disciplined approach to patient assessment and management options. Sections organized by anatomy and subspecialty enhance the ability to learn and retain knowledge. For example, benign and malignant pathologies are systematically detailed in anatomical sections dedicated to the neurovascular structures, oral cavity and pharynx, larynx, thyroid, salivary gland, and skin. The text covers the full age continuum - including congenital, acquired, benign, and malignant disorders such as pediatric subglottic stenosis and facial, head, and neck cancers that primarily affect adults. Key Highlights Presentation of 100 practical cases including history, differential diagnoses, test interpretations, definitive diagnoses, medical and surgical management, rehabilitation, and follow-up. Up-to-date coverage of every major ENT specialty: otology and neurotology, the skull base, rhinology, laryngology, head and neck cancer, sleep disorders, pediatric otolaryngology, trauma, and facial plastic and reconstructive surgery. Nearly 150 meticulous color photographs and graphics elucidate disease characteristics and clinical findings Chapter bibliographies with current literature sources augment case reviews. Multiple-choice questions serve as a robust study tool, optimizing knowledge acquisition and retention. This must-have resource enables otolaryngology residents and practitioners to learn from case studies and incorporate state-of-the-art techniques into daily practice, thereby optimizing patient care.

Handbook of Big Data Research Methods

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Publisher : Edward Elgar Publishing
ISBN 13 : 1800888554
Total Pages : 335 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Handbook of Big Data Research Methods by : Shahriar Akter

Download or read book Handbook of Big Data Research Methods written by Shahriar Akter and published by Edward Elgar Publishing. This book was released on 2023-06-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art Handbook provides an overview of the role of big data analytics in various areas of business and commerce, including accounting, finance, marketing, human resources, operations management, fashion retailing, information systems, and social media. It provides innovative ways of overcoming the challenges of big data research and proposes new directions for further research using descriptive, diagnostic, predictive, and prescriptive analytics.

Big Data Analytics for Internet of Things

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Publisher : John Wiley & Sons
ISBN 13 : 1119740754
Total Pages : 402 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Big Data Analytics for Internet of Things by : Tausifa Jan Saleem

Download or read book Big Data Analytics for Internet of Things written by Tausifa Jan Saleem and published by John Wiley & Sons. This book was released on 2021-04-20 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.

Artificial Intelligence and Big Data Analytics for Smart Healthcare

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Publisher : Academic Press
ISBN 13 : 0128220627
Total Pages : 292 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Artificial Intelligence and Big Data Analytics for Smart Healthcare by : Miltiadis Lytras

Download or read book Artificial Intelligence and Big Data Analytics for Smart Healthcare written by Miltiadis Lytras and published by Academic Press. This book was released on 2021-10-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book 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

Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

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Author :
Publisher : Springer Nature
ISBN 13 : 3030824691
Total Pages : 362 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) by : Rajiv Misra

Download or read book Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) written by Rajiv Misra and published by Springer Nature. This book was released on 2021-09-29 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

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Author :
Publisher : IAP
ISBN 13 :
Total Pages : 385 pages
Book Rating : 4.8/5 (873 download)

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Book Synopsis Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by : Sam Goundar

Download or read book Innovations in Computational Intelligence, Big Data Analytics and Internet of Things written by Sam Goundar and published by IAP. This book was released on 2024-03-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Big Data Analytics for Healthcare

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Author :
Publisher : Academic Press
ISBN 13 : 0323985165
Total Pages : 356 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Big Data Analytics for Healthcare by : Pantea Keikhosrokiani

Download or read book Big Data Analytics for Healthcare written by Pantea Keikhosrokiani and published by Academic Press. This book was released on 2022-05-19 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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