-PDF Download- Health And Fitness Portable Collection EBOOK

Health and Fitness Portable Collection

Author: Wiley

Publisher: For Dummies

Published: 2009-11-23

Total Pages: 576

ISBN-13: 9780470592199

This bundle collection contains 4 'portable' minibooks: Nutrition For Dummies--120 pages covering how to manage your diet so you can get the most bang (nutrients) for your buck (calories) and gives you the skinny on how to put together a healthy shopping list, how to prepare foods that are good for the body and the soul. SuperFoods For Dummies--120 pages introducing readers to a complete list of superfoods including: fruits, vegetables, proteins, nuts, and herbs that are considered 'super foods,' and gives readers all of the tools they need to incorporate these natural wonders into their diets. Yoga For Dummies--120 pages provides people with the tips and techniques they need to practice yoga, whether they are veterans of the program or beginners just starting to learn the basics. Core Strength For Dummies--120 pages of workouts designed to work the different core muscles that stabilize the spine and pelvis and run the entire length of the torso.

ESSA’s Student Manual for Health, Exercise and Sport Assessment

Author: Jeff S. Coombes

Publisher: Elsevier Health Sciences

Published: 2020-08-01

Total Pages: 622

ISBN-13: 0729586561

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New Static and Dynamic Posture practical New Test Accuracy, Reliability and Validity practical New activities reflecting recent advances in the field Increased focus on the interpretation, feedback and discussion of the data collected during the assessment with the participant

Big Data Analytics for Sensor-Network Collected Intelligence

Author: Hui-Huang Hsu

Publisher: Morgan Kaufmann

Published: 2017-02-02

Total Pages: 326

ISBN-13: 012809625X

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Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

Deep Learning in Personalized Healthcare and Decision Support

Author: Harish Garg

Publisher: Elsevier

Published: 2023-07-20

Total Pages: 402

ISBN-13: 0443194149

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Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies

Encyclopedia of Information Science and Technology, Fourth Edition

Author: Khosrow-Pour, D.B.A., Mehdi

Publisher: IGI Global

Published: 2017-06-20

Total Pages: 8104

ISBN-13: 1522522565

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In recent years, our world has experienced a profound shift and progression in available computing and knowledge sharing innovations. These emerging advancements have developed at a rapid pace, disseminating into and affecting numerous aspects of contemporary society. This has created a pivotal need for an innovative compendium encompassing the latest trends, concepts, and issues surrounding this relevant discipline area. During the past 15 years, the Encyclopedia of Information Science and Technology has become recognized as one of the landmark sources of the latest knowledge and discoveries in this discipline. The Encyclopedia of Information Science and Technology, Fourth Edition is a 10-volume set which includes 705 original and previously unpublished research articles covering a full range of perspectives, applications, and techniques contributed by thousands of experts and researchers from around the globe. This authoritative encyclopedia is an all-encompassing, well-established reference source that is ideally designed to disseminate the most forward-thinking and diverse research findings. With critical perspectives on the impact of information science management and new technologies in modern settings, including but not limited to computer science, education, healthcare, government, engineering, business, and natural and physical sciences, it is a pivotal and relevant source of knowledge that will benefit every professional within the field of information science and technology and is an invaluable addition to every academic and corporate library.

Functional Fitness / High Intensity Functional Training for Health and Performance

Author: Francisco J. Amaro-Gahete

Publisher: Frontiers Media SA

Published: 2022-10-25

Total Pages: 92

ISBN-13: 2832503268

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Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps

Author: Sen, Devjani

Publisher: IGI Global

Published: 2020-08-07

Total Pages: 335

ISBN-13: 1799834891

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Health and fitness apps collect various personal information including name, email address, age, height, weight, and in some cases, detailed health information. When using these apps, many users trustfully log everything from diet to sleep patterns. However, by sharing such personal information, end-users may make themselves targets to misuse of this information by unknown third parties, such as insurance companies. Despite the important role of informed consent in the creation of health and fitness applications, the intersection of ethics and information sharing is understudied and is an often-ignored topic during the creation of mobile applications. Privacy Concerns Surrounding Personal Information Sharing on Health and Fitness Mobile Apps is a key reference source that provides research on the dangers of sharing personal information on health and wellness apps, as well as how such information can be used by employers, insurance companies, advertisers, and other third parties. While highlighting topics such as data ethics, privacy management, and information sharing, this publication explores the intersection of ethics and privacy using various quantitative, qualitative, and critical analytic approaches. It is ideally designed for policymakers, software developers, mobile app designers, legal specialists, privacy analysts, data scientists, researchers, academicians, and upper-level students.

Modern Approaches in IoT and Machine Learning for Cyber Security

Author: Vinit Kumar Gunjan

Publisher: Springer Nature

Published: 2024-01-08

Total Pages: 415

ISBN-13: 3031099559

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This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

Design for Health

Author: Arathi Sethumadhavan

Publisher: Academic Press

Published: 2020-01-29

Total Pages: 400

ISBN-13: 0128166215

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Design for Health: Applications of Human Factors delves into critical and emergent issues in healthcare and patient safety and how the field of human factors and ergonomics play a role in this domain. The book uses the Design for X (DfX) methodology to discuss a wide range of contexts, technologies, and population dependent criteria (X’s) that must be considered in the design of a safe and usable healthcare ecosystem. Each chapter discusses a specific topic (e.g., mHealth, medical devices, emergency response, global health, etc.), reviews the concept, and presents a case study that demonstrates how human factors techniques and principles are utilized for the design, evaluation or improvements to specific tools, devices, and technologies (Section 1), healthcare systems and environments (Section 2), and applications to special populations (Section 3). The book represents an essential resource for researchers in academia as well as practitioners in medical device industries, consumer IT, and hospital settings. It covers a range of topics from medication reconciliation to self-care to the artificial heart. Uses the Design for X (DfX) methodology A case study approach provides practical examples for operationalization of key human factors principles and guidelines Provides specific design guidelines for a wide range of topics including resilience, stress and fatigue management, and emerging technologies Examines special populations, such as the elderly and the underserved Brings a multidisciplinary, multi-industry approach to a wide range of healthcare human factors issues

Knowledge Modelling and Big Data Analytics in Healthcare

Author: Mayuri Mehta

Publisher: CRC Press

Published: 2021-12-09

Total Pages: 362

ISBN-13: 1000477762

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Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.