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Machine learning and deep learning in efficacy improvement of healthcare systems, Bhushan, Bharat (sharda University, India) Rakesh, Nitin (sharda University, India) Astya, Parma Nand (sharda University, Ghaziabad) Farhaoui, Yousef


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Автор: Bhushan, Bharat (sharda University, India) Rakesh, Nitin (sharda University, India) Astya, Parma Nand (sharda University, Ghaziabad) Farhaoui, Yousef
Название:  Machine learning and deep learning in efficacy improvement of healthcare systems
ISBN: 9781032036724
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1032036729
Обложка/Формат: Hardcover
Страницы: 379
Вес: 0.72 кг.
Дата издания: 19.05.2022
Серия: Emerging trends in biomedical technologies and health informatics
Язык: English
Иллюстрации: 56 tables, black and white; 92 line drawings, black and white; 41 halftones, black and white; 133 illustrations, black and white
Размер: 162 x 241 x 29
Рейтинг:
Поставляется из: Европейский союз
Описание: The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications.FEATURESExplores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping
Дополнительное описание: 1. Machine Learning in Healthcare: An Introduction 2. A Machine Learning Approach to Identify Personality Traits from Social Media 3. In?uence of Content Strategies on Community Engagement over the Healthcare-Related Social Media Pages in India 4. The Imp


Comparative Effectiveness and Efficacy Research and Analysis for Practice (CEERAP)

Автор: Chiappelli, Francesco; Caldeira Brant,
Название: Comparative Effectiveness and Efficacy Research and Analysis for Practice (CEERAP)
ISBN: 3642231438 ISBN-13(EAN): 9783642231438
Издательство: Springer
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Цена: 177010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent trends in health care across the United States and internationally have emphasized a novel approach that consists in comparing the effectiveness and efficacy of treatment interventions with a patient-centered emphasis (i.e., evidence-based health care), while ensuring cost constraints, maximizing benefits, and minimizing risks. In this book, experts in comparative effectiveness and efficacy research and analysis for practice (CEERAP) in health care in general address a range of topical issues. The emphasis is on implications for endodontics and nursing, both of which are considered in a series of detailed chapters. Commonalities and differences among CEERAP, utility-based and logic-based analysis and decision-making, and evidence-based and patient-centered practice are defined and discussed. The book concludes by examining applications for CEERAP in developing patient-centered optimal treatment interventions for the next decade.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services

Автор: Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamu
Название: Applications of Deep Learning and Big IoT on Personalized Healthcare Services
ISBN: 1799821013 ISBN-13(EAN): 9781799821014
Издательство: Mare Nostrum (Eurospan)
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Цена: 246710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

Advancement of Artificial Intelligence in Healthcare Engineering

Автор: Dilip Singh Sisodia, Ram Bilas Pachori, Lalit Garg
Название: Advancement of Artificial Intelligence in Healthcare Engineering
ISBN: 179982120X ISBN-13(EAN): 9781799821205
Издательство: Mare Nostrum (Eurospan)
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Цена: 264270.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. The book features a range of topics such as genetic algorithms, mobile robotics, and neuroinformatics.

Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery

Автор: Management Association Information Reso
Название: Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery
ISBN: 1799880524 ISBN-13(EAN): 9781799880523
Издательство: Mare Nostrum (Eurospan)
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Цена: 793540.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Telemedicine, which involves electronic communications and software, provides the same clinical services to patients without the requirement of an in-person visit. Essentially, this is considered remote healthcare. Though telemedicine is not a new practice, it has become an increasingly popular form of healthcare delivery due to current events, including the COVID-19 pandemic. Not only are visits being moved onto virtual platforms, but additional materials and correspondence can remain in the digital sphere. Virtual lab results, digital imaging, medical diagnosis, and video consultations are just a few examples that encompass how telemedicine can be used for increased accessibility in healthcare delivery. With telemedicine being used in both the diagnosis and treatment of patients, technology in healthcare can be implemented at almost any phase of the patient experience. As healthcare delivery follows the digital shift, it is important to understand the technologies, benefits and challenges, and overall impacts of the remote healthcare experience. The Research Anthology on Telemedicine Efficacy, Adoption, and Impact on Healthcare Delivery presents the latest research on best practices for adopting telehealth into medical practices and its efficacy and solutions for the improvement of telemedicine, as well as addresses emerging challenges and opportunities, including issues such as securing patient data and providing healthcare accessibility to rural populations. Covering important themes that include doctor-patient relationships, tele-wound monitoring, and telemedicine regulations, this book is essential for healthcare professionals, doctors, medical students, academic and medical libraries, medical technologists, practitioners, stakeholders, researchers, academicians, and students interested in the emerging technological developments and solutions within the field of telemedicine.

Efficacy Analysis in Clinical Trials an Update

Автор: Ton J. Cleophas; Aeilko H. Zwinderman
Название: Efficacy Analysis in Clinical Trials an Update
ISBN: 3030199177 ISBN-13(EAN): 9783030199173
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Поставка под заказ.
Описание: Machine learning and big data is hot. It is, however, virtually unused in clinical trials. This is so, because randomization is applied to even out multiple variablesModern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are requiredThis is the first publication of clinical trials that have been systematically analyzed with machine learning. In addition, all of the machine learning analyses were tested against traditional analyses. Step by step statistics for self-assessments are includedThe authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do

Lean Healthcare Systems Engineering for Clinical Environments: A Step-by-Step Process for Managing Workflow and Care Improvement Projects

Автор: Oppenheim Bohdan
Название: Lean Healthcare Systems Engineering for Clinical Environments: A Step-by-Step Process for Managing Workflow and Care Improvement Projects
ISBN: 0367755335 ISBN-13(EAN): 9780367755331
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It has been almost 20 years since the Institute of Medicine released the seminal report titled, Crossing the Quality Chasm. In it, the IoM identified six domains of care quality (safe, timely, effective, efficient, equitable, and patient-centric) and noted a huge gap between the current state and the desired state.

Human Factors in Healthcare: A Field Guide to Continuous Improvement

Автор: Avi Parush, Debi Parush, Roy Ilan
Название: Human Factors in Healthcare: A Field Guide to Continuous Improvement
ISBN: 162705944X ISBN-13(EAN): 9781627059442
Издательство: Mare Nostrum (Eurospan)
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Цена: 54340.00 T
Наличие на складе: Невозможна поставка.
Описание: Have you ever experienced the burden of an adverse event or a near-miss in healthcare and wished there was a way to mitigate it? This book walks you through a classic adverse event as a case study and shows you how. It is a practical guide to continuously improving your healthcare environment, processes, tools, and ultimate outcomes, through the discipline of human factors.

Computational Intelligence for Machine Learning and Healthcare Informatics

Автор: Rajshree Srivastava, Pradeep Kumar Mallick, Siddha
Название: Computational Intelligence for Machine Learning and Healthcare Informatics
ISBN: 3110647826 ISBN-13(EAN): 9783110647822
Издательство: Walter de Gruyter
Цена: 136310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

Becoming a Healthcare Leader

Автор: Reed Steven B.
Название: Becoming a Healthcare Leader
ISBN: 1516529006 ISBN-13(EAN): 9781516529001
Издательство: Mare Nostrum (Eurospan)
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Цена: 106130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Becoming a Healthcare Leader introduces readers to theories, philosophies, strategies, methods, techniques, and lessons that have proven effective when applied to the field of healthcare management. The book shares insights from experienced hospital and healthcare leaders and prepares students for success in entry-level administrative positions and beyond.The material explores the important role leadership plays in an industry in transition, as well as what is needed to become an effective healthcare leader. In addition, it addresses specific leadership skills such as creating a culture of collaboration, fostering accountability, and putting motivational theories into practice. Students also learn about creating a strategic vision, developing a business planning cycle, marketing health service delivery, making business presentations, and dealing with the media.Becoming a Healthcare Leader is a practical tool for teaching and learning about becoming an effective healthcare leader at any level or position. It can be used in general healthcare management and leadership classes by those focused on becoming an effective healthcare leader, as well as by those already practicing leadership in a health service organization. Featuring newly added discussion questions, the book is equally effective for in-class, online, and hybrid courses.

Transforming Healthcare with Big Data and AI

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 1641138971 ISBN-13(EAN): 9781641138970
Издательство: Mare Nostrum (Eurospan)
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Цена: 47130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Strategic Analysis for Healthcare Concepts and Practical Applications, Second Edition

Автор: McDonald Warren G., Wayland Michael S.
Название: Strategic Analysis for Healthcare Concepts and Practical Applications, Second Edition
ISBN: 1640552162 ISBN-13(EAN): 9781640552166
Издательство: Mare Nostrum (Eurospan)
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Цена: 33440.00 T
Наличие на складе: Невозможна поставка.
Описание: Strategic planning encompasses much more than simply writing up a strategic plan and calling it a day. Successful strategic planning also requires developing the analytical skills leaders need to overcome current challenges while figuring out how to thrive well into the future. This book shows the way. Strategic Analysis for Healthcare: Concepts and Practical Applications presents a straightforward, step-by-step approach to strategic analysis and strategy development in healthcare. Through its clear explanations of theoretical concepts, supported by examples and applied exercises, the book provides readers with practical methods for developing healthcare strategy. This second edition includes the following new features and more: a brand-new chapter on population heath, an increasingly important approach to value-based care; three additional new chapters on strategic directional indicators, strategy selection and justification, and implementation plans and contingency planning; a substantially rewritten chapter on financial fit assessment and projection; and significant updates to many sections and topics, including financial analysis, competitive benchmarking, and organizational culture. With its short, engaging chapters, this workbook can be used as a stand-alone, applied-learning tool or in conjunction with an additional textbook. Perforated pages allow for easy use of the exercises as gradable assignments. The authors also mapped specific chapters from this book that can be taught alongside two other Health Administration Press titles, Strategic Healthcare Management, Planning and Execution, Second Edition, and Healthcare Strategic Planning, Fourth Edition. Leaders must be able to assess and strategically manage change in healthcare, as well as envision the future from a predictive, competitive, and visionary perspective. This book is designed to provide current and future leaders alike with the knowledge and guidance to do so.

Becoming the change: leadership behavior strategies for continuous improvement in healthcare

Автор: Toussaint, John Barnas, Kim
Название: Becoming the change: leadership behavior strategies for continuous improvement in healthcare
ISBN: 1260461688 ISBN-13(EAN): 9781260461688
Издательство: McGraw-Hill
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Цена: 28590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Muso DJ music playlist game, streaming music card game, adult card game for music lovers, students, friends and family, party music game where you`re the DJ, use with any music streaming app.Muso DJ is the music playlist party game you will want to play again and again. Play music you love and score points while others guess the artist, track and category. A music board game; ideal at parties and dinners. Unlike some music games/party games, you don`t need a DJ app for this quiz game with a twist. More than a trivia game for adults, Muso DJ is the ideal music-based card game for dinner guests, friends, families or students - whether at home or on holiday. As a music quiz game, it`s easy to learn: Take it in turns to pick tunes that relate to categories and tell your stories if you want to. Everyone plays at once: You`re always either playing a tune or taking a guess and yes: You all get to be the DJ. Use music-streaming services including Spotify, Apple Music, YouTube, Amazon Music and Deezer to play your favourite tunes. Even if you are not a popular music fan or a fan of quiz games, this DJ game is one of the few music games for adults that everyone from teens to adults can enjoy. A music party game with a difference; guess, chat and play with Muso DJ: The music playlist party game.


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